"Information about Context7" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
Cited news for AI agents from AI companies, VC firms, private companies and business podcasts.
Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.
Answers questions about Radu Stoian, Technical Director at Enhance Media.
Free, read-only context retention review for RAG and agent workflows. Supply sanitized text with stable source IDs and a token budget; receive a source-linked context pack, token estimates, and exact excerpt-retention results. No web fetching, account access, model calls or payments. Checks text selection, not factual truth or semantic completeness. No API key required.
Context crossmatch: compatibility typing for context ingestion. $0.005/check.
Compress, merge, split, convert, OCR, redact, sign and create PDFs, and ask questions about them, without leaving the chat. Sign in with a FynePDF account (OAuth) or use an API key; results come back as files you can download or keep.
Answers about vareen.net from its website: products, technical data, comparisons, sales contact.
Persistent project context for xAI Grok. IANA-registered .faf format.
Search and load AI datasets, prompts and few-shot contexts from the ContexteTech catalogue.
Facts about Rankera, the done-for-you AI visibility service: plans, channels and site search.
One semantic search across your sites, Drive, Notion, email, files and Basecamp.
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.
Long-term memory for AI agents: learns what is true about each person and answers with sources.
The Brains turns founders, CEOs and investors (Paul Graham, Naval Ravikant, Pieter Levels, Alex Hormozi, Sam Altman and 20+ more) into searchable knowledge bases built from their public talks, interviews, essays and posts. Ask how they think about growth, distribution, marketing, pricing and building a company, and get passages with a link to the original source. Search everyone at once or one person. Free and open source (MIT). Sign in with your email. Unofficial: not affiliated with or endorse
The most reliable and accurate context for legal AI with benchmarks and clarity on accuracy. Starting in IP, our server offers free/metered usage options for AI and agents to recieve proper context to answer any legal AI question.
Your portable context layer — load it into any AI.
Christian source evidence for AI agents, with provenance, tradition coverage, and citation checks.
Bintu fetches a public webpage through MCP and returns cleaned text or chunks for AI-agent workflows. It is designed to reduce page clutter while preserving the source content needed for context.
Workspace knowledge bases agents ingest, search, and query over MCP.
The context layer for the physical world: filmed spaces as cited context for agents.
Answers about your own company from its recorded knowledge, and shows where its sources disagree.
Persistent memory, hybrid search and a goal graph for AI agents, over stdio or remote HTTP.
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.
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.
Answers questions about a business using its indexed website content, with cited sources.
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.
