"Information about Meta (Facebook's parent company)" matching MCP servers:

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

MCP server providing on-demand access to official prompting guides for building robust meta-prompts.

An MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.

A local AI assistant that answers questions across a company's internal knowledge using MCP, providing controlled access to internal documents with role-based permissions and citations.

Enables AI coding assistants to search and cite company Markdown knowledge stored in GitLab repositories using a local, read-only index.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

This MCP server reads team SKILL.md files from a local folder and returns relevant ones to Cursor, while recording usage in a local SQLite database.

Provides read-only access to company GitHub repositories, enabling code search, file retrieval, documentation search, and repo browsing via natural language.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Gives AI assistants access to current Capacitor documentation, plugin listings, and Ionic blog posts so they can provide accurate answers about Capacitor APIs and CLI usage.

Enables semantic search over ByJG's documentation, letting LLMs answer questions about ByJG libraries and cite the pages where answers were found.

Teaches AI coding agents how to reason correctly about MetaMask Embedded Wallets / Web3Auth architecture, SDK choice, key derivation, auth flows, and common integration pitfalls.

Enables a discovery subagent that performs docs research, logs triage, and codebase exploration, returning structured findings and specifying raw reads needed by the parent agent.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Answers questions about the FedRAMP Consolidated Rules for 2026 using search and retrieval tools on the authoritative source text with citations.

Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.

An MCP server providing AI assistants with comprehensive access to n8n node documentation, properties, and operations, enabling deep knowledge about n8n's 2,063 workflow automation nodes.

Public, agent-searchable knowledge base about AI-native software development, served as an MCP server with tools to search, read, and list topics.

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.