diff --git a/config/basic.yaml b/config/basic.yaml
index bbb8caef..4837f75c 100644
--- a/config/basic.yaml
+++ b/config/basic.yaml
@@ -59,7 +59,14 @@ paperoni:
   collection:
     $class: paperoni.collection.filecoll:FileCollection
     file: ${paperoni.data_path}/collection.json
+  embedding:
+    $class: paperoni.embed.cfg:Embedding
+    model: gemini-embedding-001
+    api_key: ${paperoni.api_keys.gemini}
   server:
+    host: localhost
+    port: 8000
+    protocol: http
     max_results: 10000
     process_pool_executor:
       max_workers: 4
@@ -83,3 +90,7 @@ paperoni:
           search: []
           validate: [search]
           dev: []
+  mcp:
+    api_client:
+      $class: paperoni.mcp.client:PaperoniAPIClient
+      endpoint: ${paperoni.server.protocol}://${paperoni.server.host}:${paperoni.server.port}
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 39361cea..3b680a4a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,6 +40,7 @@ dependencies = [
     "jinja2>=3.1.6",
     "easy-oauth",
     "markdown>=3.10",
+    "fastmcp>=2.14.2",
 ]
 
 [project.urls]
diff --git a/src/paperoni/__main__.py b/src/paperoni/__main__.py
index b73b50a7..b56e6377 100644
--- a/src/paperoni/__main__.py
+++ b/src/paperoni/__main__.py
@@ -43,6 +43,7 @@
 from .config import config
 from .dash import History
 from .display import display, print_field, terminal_width
+from .embed.embeddings import PaperEmbedding
 from .fulltext.locate import URL, locate_all
 from .fulltext.pdf import PDF, CachePolicies, get_pdf
 from .heuristics import simplify_paper
@@ -617,6 +618,12 @@ class Search:
         # [alias: -f]
         flags: set[str] = None
 
+        # Semantic search query
+        query: str = None
+
+        # Similarity threshold
+        similarity_threshold: float = 0.75
+
         # Whether to expand links
         expand_links: bool = False
 
@@ -648,8 +655,19 @@ def run(self, coll: "Coll") -> list[Paper]:
                     exclude_flags={f for f in flags if f.startswith("~")},
                 )
             ]
+
+            if self.query:
+                papers, similarities = zip(
+                    *PaperEmbedding.semantic_search(
+                        papers, self.query, self.similarity_threshold
+                    )
+                )
+            else:
+                similarities = None
+
             self.format(papers)
-            return papers
+
+            return papers, similarities
 
     @dataclass
     class Import:
@@ -851,7 +869,7 @@ class Login:
     """Retrieve an access token from the paperoni server."""
 
     # Endpoint to login to
-    endpoint: str = "http://localhost:8000"
+    endpoint: str = None
 
     # Whether to use headless mode
     headless: bool = False
@@ -860,8 +878,29 @@ def run(self):
         print_field("Access token", login(self.endpoint, self.headless))
 
 
+@dataclass
+class MCP:
+    """MCP server for paperoni."""
+
+    # Paperoni API
+    endpoint: str = None
+
+    transport: Literal["stdio", "http"] = "stdio"
+    host: str = "localhost"
+    port: int = 9000
+
+    def run(self):
+        from .mcp.server import create_mcp
+
+        mcp = create_mcp(self.endpoint)
+        if self.transport == "stdio":
+            mcp.run(transport="stdio")
+        elif self.transport == "http":
+            mcp.run(transport="http", host=self.host, port=self.port)
+
+
 PaperoniCommand = TaggedUnion[
-    Discover, Refine, Fulltext, Work, Coll, Batch, Focus, Serve, Login
+    Discover, Refine, Fulltext, Work, Coll, Batch, Focus, Serve, Login, MCP
 ]
 
 
diff --git a/src/paperoni/config.py b/src/paperoni/config.py
index de715fc4..7b474b55 100644
--- a/src/paperoni/config.py
+++ b/src/paperoni/config.py
@@ -11,7 +11,9 @@
 from serieux.features.encrypt import Secret
 
 from .collection.abc import PaperCollection
+from .embed.cfg import Embedding
 from .get import Fetcher, RequestsFetcher
+from .mcp.client import PaperoniAPIClient
 from .model.focus import AutoFocus, Focuses
 from .prompt import GenAIPrompt, Prompt
 
@@ -52,6 +54,13 @@ def __post_init__(self):
             self.process_pool = ProcessPoolExecutor(**self.process_pool_executor)
 
 
+@dataclass(kw_only=True)
+class MCP:
+    api_client: TaggedSubclass[PaperoniAPIClient] = field(
+        default_factory=PaperoniAPIClient
+    )
+
+
 @dataclass
 class PaperoniConfig:
     cache_path: Path = None
@@ -66,7 +75,9 @@ class PaperoniConfig:
     work_file: Path = None
     collection: TaggedSubclass[PaperCollection] = None
     reporters: list[TaggedSubclass[Reporter]] = field(default_factory=list)
+    embedding: TaggedSubclass[Embedding] = field(default_factory=Embedding)
     server: Server = field(default_factory=Server)
+    mcp: MCP = field(default_factory=MCP)
 
     def __post_init__(self):
         self.metadata: Meta[Path | list[Path] | Meta | Any] = Meta()
diff --git a/src/paperoni/embed/cfg.py b/src/paperoni/embed/cfg.py
new file mode 100644
index 00000000..00372625
--- /dev/null
+++ b/src/paperoni/embed/cfg.py
@@ -0,0 +1,75 @@
+"""Embedding service for semantic search using Google GenAI."""
+
+import json
+from dataclasses import dataclass
+from pathlib import Path
+from typing import BinaryIO
+
+from google import genai
+from google.genai.types import EmbedContentResponse
+from paperazzi.utils import _make_key as paperazzi_make_key, disk_cache, disk_store
+from serieux.features.encrypt import Secret
+
+
+@dataclass
+class EmbedContentResponseSerializer:
+    @staticmethod
+    def dump(response: EmbedContentResponse, file_obj: BinaryIO):
+        model_dump = response.model_dump()
+        return file_obj.write(
+            json.dumps(model_dump, indent=2, ensure_ascii=False).encode("utf-8")
+        )
+
+    @staticmethod
+    def load(file_obj: BinaryIO) -> EmbedContentResponse:
+        data = json.load(file_obj)
+        return EmbedContentResponse.model_validate(data)
+
+
+@dataclass
+class Embedding:
+    """Service for generating and caching embeddings using Google GenAI."""
+
+    client: genai.Client = None
+    api_key: Secret[str] = None
+    model: str = None
+
+    def __post_init__(self):
+        if self.client is None:
+            self.client = genai.Client(api_key=self.api_key or None)
+
+    def embed(
+        self, contents: list[str], cache_dir: Path = None, **kwargs
+    ) -> list[EmbedContentResponse]:
+        """Embed content."""
+        if cache_dir is not None:
+            embed = self._embed.update(cache_dir=cache_dir)
+        else:
+            embed = self._embed
+
+        return list(
+            map(
+                lambda c: embed(self.client, model=self.model, content=c, **kwargs),
+                contents,
+            )
+        )
+
+    @staticmethod
+    def _make_key(_: tuple, kwargs: dict) -> str:
+        kwargs = kwargs.copy()
+        kwargs.pop("client", None)
+
+        return paperazzi_make_key(None, kwargs)
+
+    @disk_store
+    @disk_cache(
+        cache_dir=Path("/tmp/embeddings"),
+        serializer=EmbedContentResponseSerializer,
+        make_key=_make_key,
+    )
+    @staticmethod
+    def _embed(
+        client: genai.Client, *, model: str, content: str, **kwargs
+    ) -> EmbedContentResponse:
+        """Get embedding for text."""
+        return client.models.embed_content(model=model, contents=[content], **kwargs)
diff --git a/src/paperoni/embed/embeddings.py b/src/paperoni/embed/embeddings.py
new file mode 100644
index 00000000..17a681d2
--- /dev/null
+++ b/src/paperoni/embed/embeddings.py
@@ -0,0 +1,62 @@
+from typing import Iterable
+
+import numpy as np
+from google import genai
+from google.genai.types import EmbedContentResponse
+
+from ..config import config
+from ..model.classes import Paper
+
+
+class PaperEmbedding:
+    @staticmethod
+    def semantic_search(
+        papers: Iterable[Paper], query: str, similarity_threshold: float = 0.75
+    ) -> list[tuple[Paper, float]]:
+        """Semantic search for papers."""
+        responses: Iterable[EmbedContentResponse] = map(
+            PaperEmbedding.get_paper_embedding, papers
+        )
+        store = np.array([r.embeddings[0].values for r in responses])
+        query_embedding = np.array(
+            config.embedding.embed(
+                [query],
+                cache_dir=None,
+                config=genai.types.EmbedContentConfig(task_type="SEMANTIC_SIMILARITY"),
+            )[0]
+            .embeddings[0]
+            .values
+        )
+
+        # Calculate Cosine Similarity
+        # Formula: (A dot B) / (||A|| * ||B||)
+        dot_products = np.dot(store, query_embedding)
+        norms = np.linalg.norm(store, axis=1) * np.linalg.norm(query_embedding)
+        similarities = dot_products / norms
+
+        # Return sorted results
+        sorted_indices = np.argsort(similarities)[::-1]
+        return [
+            (papers[i], similarities[i])
+            for i in sorted_indices
+            if similarities[i] >= similarity_threshold
+        ]
+
+    @staticmethod
+    def get_paper_embedding(paper: Paper) -> list[float] | None:
+        """Get embedding for a paper (title + abstract + topics)."""
+        parts = [paper.title]
+
+        if paper.abstract:
+            parts.append(paper.abstract)
+
+        if paper.topics:
+            topic_names = ", ".join(sorted(t.name.lower() for t in paper.topics))
+            parts.append(f"Topics: {topic_names}")
+        content = "\n\n".join(parts)
+
+        return config.embedding.embed(
+            [content],
+            cache_dir=config.data_path / "embeddings",
+            config=genai.types.EmbedContentConfig(task_type="SEMANTIC_SIMILARITY"),
+        )[0]
diff --git a/src/paperoni/mcp/__init__.py b/src/paperoni/mcp/__init__.py
new file mode 100644
index 00000000..ade835e6
--- /dev/null
+++ b/src/paperoni/mcp/__init__.py
@@ -0,0 +1 @@
+"""MCP server for paperoni."""
diff --git a/src/paperoni/mcp/client.py b/src/paperoni/mcp/client.py
new file mode 100644
index 00000000..6c6cdd8b
--- /dev/null
+++ b/src/paperoni/mcp/client.py
@@ -0,0 +1,122 @@
+"""HTTP client for paperoni REST API."""
+
+import os
+from dataclasses import dataclass, field
+from datetime import date
+from typing import Any
+
+from fastapi import HTTPException
+from serieux.features.encrypt import Secret
+
+from ..get import Fetcher, RequestsFetcher
+
+
+@dataclass
+class PaperoniAPIClient:
+    """Client for interacting with paperoni REST API."""
+
+    endpoint: str
+    token: Secret[str] = os.getenv("PAPERONI_TOKEN")
+    fetch: Fetcher = field(default_factory=RequestsFetcher)
+
+    def __post_init__(self):
+        self.headers = {
+            "Accept": "application/json",
+        }
+        if self.token is not None:
+            self.headers["Authorization"] = f"Bearer {self.token}"
+
+    def search_papers(
+        self,
+        paper_id: int = None,
+        title: str = None,
+        institution: str = None,
+        author: str = None,
+        venue: str = None,
+        start_date: date = None,
+        end_date: date = None,
+        include_flags: list[str] = None,
+        exclude_flags: list[str] = None,
+        query: str = None,
+        similarity_threshold: float = 0.75,
+        offset: int = 0,
+        limit: int = 100,
+    ) -> dict[str, Any]:
+        params: dict[str, Any] = {
+            "offset": offset,
+            "limit": limit,
+        }
+
+        if paper_id:
+            params["paper_id"] = paper_id
+        if title:
+            params["title"] = title
+        if institution:
+            params["institution"] = institution
+        if author:
+            params["author"] = author
+        if venue:
+            params["venue"] = venue
+        if start_date:
+            params["start_date"] = start_date.isoformat()
+        if end_date:
+            params["end_date"] = end_date.isoformat()
+        if include_flags:
+            params["include_flags"] = ",".join(include_flags)
+        if exclude_flags:
+            params["exclude_flags"] = ",".join(exclude_flags)
+        if query:
+            params["query"] = query
+        if similarity_threshold:
+            params["similarity_threshold"] = similarity_threshold
+
+        url = f"{self.endpoint}/api/v1/search"
+
+        try:
+            resp = self.fetch.read(
+                url,
+                format="json",
+                cache_into=None,
+                headers=self.headers,
+                params=params,
+            )
+            resp.pop("total", None)
+            return resp
+
+        except Exception as e:
+            if isinstance(e, HTTPException) and e.status_code == 404:
+                return {
+                    "results": [],
+                    "similarities": None,
+                    "count": 0,
+                    "next_offset": None,
+                }
+            raise
+
+    def count_papers(
+        self,
+        paper_id: int = None,
+        title: str = None,
+        institution: str = None,
+        author: str = None,
+        venue: str = None,
+        start_date: date = None,
+        end_date: date = None,
+        include_flags: list[str] = None,
+        exclude_flags: list[str] = None,
+    ) -> int:
+        # Fetch first page to get total count
+        resp = self.search_papers(
+            paper_id=paper_id,
+            title=title,
+            institution=institution,
+            author=author,
+            venue=venue,
+            start_date=start_date,
+            end_date=end_date,
+            include_flags=include_flags,
+            exclude_flags=exclude_flags,
+            offset=0,
+            limit=1,  # Only need the total count
+        )
+        return resp.get("total", 0)
diff --git a/src/paperoni/mcp/server.py b/src/paperoni/mcp/server.py
new file mode 100644
index 00000000..baa7a4ec
--- /dev/null
+++ b/src/paperoni/mcp/server.py
@@ -0,0 +1,127 @@
+"""MCP server implementation using fastmcp."""
+
+from datetime import date
+
+from fastmcp import FastMCP
+
+from ..config import config
+from .client import PaperoniAPIClient
+
+
+def create_mcp(endpoint: str = None):
+    api_client = PaperoniAPIClient(
+        endpoint or config.mcp.api_client.endpoint,
+        token=config.mcp.api_client.token,
+        fetch=config.mcp.api_client.fetch,
+    )
+
+    mcp = FastMCP(name="Paperoni")
+
+    @mcp.tool
+    def search_papers(
+        paper_id: int = None,
+        title: str = None,
+        institution: str = None,
+        author: str = None,
+        venue: str = None,
+        start_date: date = None,
+        end_date: date = None,
+        include_flags: list[str] = None,
+        exclude_flags: list[str] = None,
+        query: str = None,
+        similarity_threshold: float = 0.75,
+        offset: int = 0,
+        limit: int = 100,
+    ):
+        """Search for papers in the paperoni collection.
+
+        This tool allows searching for papers using various filters including
+        semantic search, institution, venue, author, and date ranges. Results
+        include paper metadata (title, abstract, authors, venues, topics) but
+        exclude PDF content.
+
+        If a query is provided, the results will be sorted by similarity score.
+        Note that unrelated papers may still be returned with a low similarity
+        score.
+
+        Args:
+            paper_id: Paper ID
+            title: Title of the paper
+            institution: Institution of an author
+            author: Author of the paper
+            venue: Venue name (long or short)
+            start_date: Start date to consider
+            end_date: End date to consider
+            include_flags: Flags that must be present
+            exclude_flags: Flags that must not be present
+            query: Semantic search query
+            similarity_threshold: Similarity threshold (default: 0.75)
+            offset: Pagination offset (default: 0)
+            limit: Maximum number of results to return (default: 100)
+
+        Returns:
+            Dictionary containing:
+            - results: List of paper objects with metadata
+            - similarities: List of similarity scores (None if no query was provided)
+            - count: Number of results in this page
+            - next_offset: Offset for next page (None if no more pages)
+        """
+
+        return api_client.search_papers(
+            paper_id=paper_id,
+            title=title,
+            institution=institution,
+            author=author,
+            venue=venue,
+            start_date=start_date,
+            end_date=end_date,
+            include_flags=include_flags,
+            exclude_flags=exclude_flags,
+            query=query,
+            similarity_threshold=similarity_threshold,
+            offset=offset,
+            limit=limit,
+        )
+
+    @mcp.tool
+    def count_papers(
+        paper_id: int = None,
+        title: str = None,
+        institution: str = None,
+        author: str = None,
+        venue: str = None,
+        start_date: date = None,
+        end_date: date = None,
+        include_flags: list[str] = None,
+        exclude_flags: list[str] = None,
+    ) -> int:
+        """Count papers matching criteria without fetching all results.
+
+        Args:
+            paper_id: Paper ID
+            title: Title of the paper
+            institution: Institution of an author
+            author: Author of the paper
+            venue: Venue name (long or short)
+            start_date: Start date to consider
+            end_date: End date to consider
+            include_flags: Flags that must be present
+            exclude_flags: Flags that must not be present
+
+        Returns:
+            Total count of matching papers
+        """
+
+        return api_client.count_papers(
+            paper_id=paper_id,
+            title=title,
+            institution=institution,
+            author=author,
+            venue=venue,
+            start_date=start_date,
+            end_date=end_date,
+            include_flags=include_flags,
+            exclude_flags=exclude_flags,
+        )
+
+    return mcp
diff --git a/src/paperoni/web/restapi.py b/src/paperoni/web/restapi.py
index e15a6fb9..4b77bc6f 100644
--- a/src/paperoni/web/restapi.py
+++ b/src/paperoni/web/restapi.py
@@ -33,10 +33,10 @@ def __call__(self, things):
 class PagingMixin:
     """Mixin for paging."""
 
-    # Results offset
+    # Pagination offset
     offset: int = field(default=0)
-    # Max number of results to return
-    size: int = field(default=100)
+    # Maximum number of results to return
+    limit: int = field(default=100)
 
     _count: int | None = field(repr=False, compare=False, default=None)
     _next_offset: int | None = field(repr=False, compare=False, default=None)
@@ -54,23 +54,23 @@ def slice(
         iterable: Iterable,
         *,
         offset: int = None,
-        size: int = None,
+        limit: int = None,
     ) -> Iterable:
         if offset is None:
             offset = self.offset or 0
-        if size is None:
-            size = self.size or 100
+        if limit is None:
+            limit = self.limit or 100
 
-        size = min(size, config.server.max_results)
+        limit = min(limit, config.server.max_results)
 
         self._count = 0
         self._next_offset = offset
-        for entry in itertools.islice(iterable, offset, offset + size):
+        for entry in itertools.islice(iterable, offset, offset + limit):
             self._count += 1
             self._next_offset += 1
             yield entry
 
-        if self._count < size:
+        if self._count < limit:
             # No more results
             self._next_offset = None
 
@@ -108,6 +108,7 @@ class SearchResponse(PagingResponseMixin):
     """Response model for paper search."""
 
     results: list[CollectionPaper]
+    similarities: list[float] | None
 
 
 @dataclass
@@ -277,10 +278,14 @@ def _search(request: dict):
     coll = Coll(command=None)
 
     # Perform search using the collection's search method
-    all_matches = request.run(coll)
+    all_matches, similarities = request.run(coll)
+
+    if similarities is not None:
+        similarities = list(request.slice(similarities))
+
     results = list(request.slice(all_matches))
 
-    return results, request.count, request.next_offset, len(all_matches)
+    return results, similarities, request.count, request.next_offset, len(all_matches)
 
 
 def _work_view(request: dict):
@@ -338,11 +343,15 @@ async def root():
     )
     async def search_papers(request: SearchRequest = Depends()):
         """Search for papers in the collection."""
-        results, count, next_offset, total = await run_in_process_pool(
+        results, similarities, count, next_offset, total = await run_in_process_pool(
             _search, serialize(SearchRequest, request)
         )
         return SearchResponse(
-            results=results, count=count, next_offset=next_offset, total=total
+            results=results,
+            similarities=similarities,
+            count=count,
+            next_offset=next_offset,
+            total=total,
         )
 
     @app.get(
diff --git a/tests/web/test_restapi.py b/tests/web/test_restapi.py
index 32e962a9..6ad290f5 100644
--- a/tests/web/test_restapi.py
+++ b/tests/web/test_restapi.py
@@ -180,8 +180,8 @@ def test_search_endpoint(
     ["params", "count", "next_offset", "total"],
     [
         ({}, 3, None, 3),
-        ({"offset": 0, "size": 2}, 2, 2, 3),
-        ({"offset": 2, "size": 2}, 1, None, 3),
+        ({"offset": 0, "limit": 2}, 2, 2, 3),
+        ({"offset": 2, "limit": 2}, 1, None, 3),
     ],
 )
 def test_search_endpoint_pagination(
@@ -197,7 +197,7 @@ def test_search_endpoint_pagination(
     user = app.client("seeker@website.web")
 
     with patch("paperoni.web.restapi.SearchRequest.run") as mock_run:
-        mock_run.return_value = mock_papers
+        mock_run.return_value = mock_papers, None
 
         response = user.get("/api/v1/search", **params)
 
@@ -219,7 +219,7 @@ def test_search_endpoint_max_results_limit(
     with app_factory({"paperoni.server.max_results": 2}) as app:
         user = app.client("seeker@website.web")
         with patch("paperoni.web.restapi.SearchRequest.run") as mock_run:
-            mock_run.return_value = mock_papers
+            mock_run.return_value = mock_papers, None
 
             # Request more than max_results
             response = user.get("/api/v1/search", size=100)
@@ -240,7 +240,7 @@ def test_search_endpoint_empty_results(app):
     user = app.client("seeker@website.web")
 
     with patch("paperoni.web.restapi.SearchRequest.run") as mock_run:
-        mock_run.return_value = []
+        mock_run.return_value = [], None
 
         response = user.get("/api/v1/search")
 
diff --git a/tests/web/test_restapi/test_search_endpoint_params0_.yml b/tests/web/test_restapi/test_search_endpoint_params0_.yml
index ace3d0b0..af0b7c7b 100644
--- a/tests/web/test_restapi/test_search_endpoint_params0_.yml
+++ b/tests/web/test_restapi/test_search_endpoint_params0_.yml
@@ -5,9 +5,11 @@
   expand_links: false
   flags: null
   institution: null
+  limit: 100
   offset: 0
   paper_id: null
-  size: 100
+  query: null
+  similarity_threshold: 0.75
   start_date: null
   title: null
   venue: null
diff --git a/tests/web/test_restapi/test_search_endpoint_params1_.yml b/tests/web/test_restapi/test_search_endpoint_params1_.yml
index 08695db0..5a26f74a 100644
--- a/tests/web/test_restapi/test_search_endpoint_params1_.yml
+++ b/tests/web/test_restapi/test_search_endpoint_params1_.yml
@@ -5,9 +5,11 @@
   expand_links: false
   flags: null
   institution: null
+  limit: 100
   offset: 0
   paper_id: null
-  size: 100
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+  similarity_threshold: 0.75
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   title: Machine Learning
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diff --git a/tests/web/test_restapi/test_search_endpoint_params2_.yml b/tests/web/test_restapi/test_search_endpoint_params2_.yml
index 1c7fdb6c..bf85dc90 100644
--- a/tests/web/test_restapi/test_search_endpoint_params2_.yml
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diff --git a/tests/web/test_restapi/test_search_endpoint_params3_.yml b/tests/web/test_restapi/test_search_endpoint_params3_.yml
index 87cc57c3..81afb763 100644
--- a/tests/web/test_restapi/test_search_endpoint_params3_.yml
+++ b/tests/web/test_restapi/test_search_endpoint_params3_.yml
@@ -5,9 +5,11 @@
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diff --git a/tests/web/test_restapi/test_search_endpoint_params4_.yml b/tests/web/test_restapi/test_search_endpoint_params4_.yml
index f7bca506..dcff410e 100644
--- a/tests/web/test_restapi/test_search_endpoint_params4_.yml
+++ b/tests/web/test_restapi/test_search_endpoint_params4_.yml
@@ -5,9 +5,11 @@
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index 44ecb4ce..afaabbab 100644
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+    { name = "py-key-value-aio", extra = ["disk", "keyring", "memory"] },
+    { name = "pydantic", extra = ["email"] },
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