"Accessing Gmail Services or Information" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP Server for Git operations, agent templates, and project utilities.

Gmail MCP server — scope-gated tools (readonly / send / modify), path jails for attachments + downloads, hardened OAuth credentials, Sigstore-signed releases.

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

MCP server that integrates with Gmail to enable sending, reading, and managing emails through tools like send-email, trash-email, get-unread-emails, and read-email.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

This read-only MCP Server allows you to connect to SharePoint Excel Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SharePoint Excel Services (https://www.cdata.com/drivers/excelservices/download/mcp).

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

Provides comprehensive Gmail integration with 25+ tools for intelligent email management, including AI-powered categorization, advanced search and filtering, automated archiving and cleanup, analytics, and secure OAuth2 authentication.

Implements a Multi-Channel Platform Server that integrates with existing Enterprise Application Integration services, providing tools and endpoints to securely fetch network reports and access management features.

A Model Context Protocol server for Marketing Connect AI integrations that provides tools, resources, and prompts for AI models to interact with marketing systems and data.

A read-only MCP server that exposes Automeli's public API documentation (v2 canonical, v1 frozen) to LLMs via fetch and cache over www.automeli.com artifacts. It enables listing, searching, and retrieving endpoints, OpenAPI specs, error explanations, code snippets, and end-to-end flow guides.

Reference MCP servers that integrate with Autodesk Platform Services, demonstrating various authentication combinations and exposing tools to list projects and folder contents via the Data Management API.

MCP server: is this GitHub repo still maintained? A verdict.

Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.

Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, providing tools for analyzing Lean projects, accessing diagnostics, goal states, documentation, and searching for theorems using both local and external search services.

Enables accessing and extracting files from remote zip archives over HTTP, HTTPS, and FTP without downloading the entire archive. Supports listing files, extracting individual files, and getting file information using partial reading techniques.

A Model Context Protocol server for accessing NovaCV resume services API, enabling users to generate PDF resumes, analyze resume content, convert resume text to JSON format, and get available resume templates.

Provides AI assistants with access to Vega-Lite documentation, visualization examples, and specification validation tools. Enables searching docs, retrieving examples by category, validating JSON specs, and accessing schema information for creating data visualizations.