diff --git a/README.md b/README.md index e26ed4b7..922370e4 100644 --- a/README.md +++ b/README.md @@ -38,10 +38,12 @@ These servers aim to demonstrate MCP features and the Typescript and Python SDK. Official integrations are maintained by companies building production ready MCP servers for their platforms. +- Apify Logo **[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more - Axiom Logo **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language - Browserbase Logo **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more) - **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1) - E2B Logo **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev) +- eSignatures Logo **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts. - Exa Logo **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai) - Fireproof Logo **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization - **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source @@ -54,10 +56,12 @@ Official integrations are maintained by companies building production ready MCP - Needle AI Logo **[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents. - Neo4j Logo **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory - **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform +- Oxylabs Logo **[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction. - **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine - **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account - [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps - Tinybird Logo **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform +- Verodat Logo **[Verodat](https://github.com/ThinkEvolveSolve/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform ### 🌎 Community Servers @@ -79,13 +83,16 @@ A growing set of community-developed and maintained servers demonstrates various - **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so) - **[Chroma](https://github.com/privetin/chroma)** - Vector database server for semantic document search and metadata filtering, built on Chroma - **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)** - Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details. -- **[cognee-mcp](https://github.com/topoteretes/cognee-mcp-server)** - GraphRAG memory server with customizable ingestion, data processing and search +- **[code-sandbox-mcp](https://github.com/Automata-Labs-team/code-sandbox-mcp)** - An MCP server to create secure code sandbox environment for executing code within Docker containers. +- **[cognee-mcp](https://github.com/topoteretes/cognee/tree/main/cognee-mcp)** - GraphRAG memory server with customizable ingestion, data processing and search - **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)** - Provides access to [coinmarketcap](https://coinmarketcap.com/) cryptocurrency data. - **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server. - **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution! - **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export +- **[Descope](https://github.com/descope-sample-apps/descope-mcp-server)** - An MCP server to integrate with [Descope](https://descope.com) to search audit logs, manage users, and more. - **[DevRev](https://github.com/kpsunil97/devrev-mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. sources listed [here](https://devrev.ai/docs/import#available-sources). - **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows. +- **[Discord](https://github.com/v-3/discordmcp)** - A MCP server to connect to Discord guilds through a bot and read and write messages in channels - **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks. - **[Drupal](https://github.com/Omedia/mcp-server-drupal)** - Server for interacting with [Drupal](https://www.drupal.org/project/mcp) using STDIO transport layer. - **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction. @@ -124,8 +131,8 @@ A growing set of community-developed and maintained servers demonstrates various - **[Placid.app](https://github.com/felores/placid-mcp-server)** - Generate image and video creatives using Placid.app templates - **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright - **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests. -- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown. - **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects. +- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's open-source RAG Web Browser [Actor](https://apify.com/apify/rag-web-browser) to perform web searches, scrape URLs, and return content in Markdown. - **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval. - **[Salesforce MCP](https://github.com/smn2gnt/MCP-Salesforce)** - Interact with Salesforce Data and Metadata - **[Scholarly](https://github.com/adityak74/mcp-scholarly)** - A MCP server to search for scholarly and academic articles. @@ -168,6 +175,7 @@ Additional resources on MCP. - **[PulseMCP](https://www.pulsemcp.com)** ([API](https://www.pulsemcp.com/api)) - Community hub & weekly newsletter for discovering MCP servers, clients, articles, and news by **[Tadas Antanavicius](https://github.com/tadasant)**, **[Mike Coughlin](https://github.com/macoughl)**, and **[Ravina Patel](https://github.com/ravinahp)** - **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)** - **[Smithery](https://smithery.ai/)** - A registry of MCP servers to find the right tools for your LLM agents by **[Henry Mao](https://github.com/calclavia)** +- **[Toolbase](https://gettoolbase.ai)** - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by **[gching](https://github.com/gching)** ## 🚀 Getting Started diff --git a/src/github/index.ts b/src/github/index.ts index fd77f017..3d60e8fa 100644 --- a/src/github/index.ts +++ b/src/github/index.ts @@ -289,21 +289,27 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => { const args = issues.ListIssuesOptionsSchema.parse(request.params.arguments); const { owner, repo, ...options } = args; const result = await issues.listIssues(owner, repo, options); - return { toolResult: result }; + return { + content: [{ type: "text", text: JSON.stringify(result, null, 2) }], + }; } case "update_issue": { const args = issues.UpdateIssueOptionsSchema.parse(request.params.arguments); const { owner, repo, issue_number, ...options } = args; const result = await issues.updateIssue(owner, repo, issue_number, options); - return { toolResult: result }; + return { + content: [{ type: "text", text: JSON.stringify(result, null, 2) }], + }; } case "add_issue_comment": { const args = issues.IssueCommentSchema.parse(request.params.arguments); const { owner, repo, issue_number, body } = args; const result = await issues.addIssueComment(owner, repo, issue_number, body); - return { toolResult: result }; + return { + content: [{ type: "text", text: JSON.stringify(result, null, 2) }], + }; } case "list_commits": { @@ -323,7 +329,9 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => { case "get_issue": { const args = issues.GetIssueSchema.parse(request.params.arguments); const issue = await issues.getIssue(args.owner, args.repo, args.issue_number); - return { toolResult: issue }; + return { + content: [{ type: "text", text: JSON.stringify(issue, null, 2) }], + }; } default: