"Information about Context7" matching MCP connectors:

Persistent project context for xAI Grok. IANA-registered .faf format.

Compact, citation-verifiable public web context for AI agents, paid per use with x402.

Read-only canonical igoyal.ai Markdown resources, including MPP-paid city guides.

Christian source evidence for AI agents, with provenance, tradition coverage, and citation checks.

Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.

Your portable context layer — load it into any AI.

Answers questions about a business using its indexed website content, with cited sources.

Stop re-explaining yourself to Agents. Give it the right context, right when needed.

MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.

ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.

Needle

com.needle-ai.mcp

The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

Provides metadata information to AI agents through the search API.