"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Strips 85-97% of HTML bloat into clean Markdown, <200-token skeletons, or BM25 excerpts via MCP.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.
Fact-check AI answers with cited sources. Pay per call in USDC on Base via x402.
PDF/Word/Excel/HTML to clean Markdown for LLMs and RAG. Keys $19/mo; 50 free calls a day.
Grounded synthesis from public sources. 3 free calls total; then $0.10 brief or $0.25 deep via x402.
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
Recall (recall.it) — your AI knowledge base / 'second brain'. Via the official API: semantic search
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
1 Google Search endpoints. Pay per call in USDC via x402.
AI web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.
Coding & security oracle grounded in 1855 real books. Cited answers via MCP.
- membaseOAuthai.membase
Long-term memory for you and your AIs: search memories, read the profile, add facts and documents.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.
Extract text, tables and RAG chunks from public PDF URLs; pay-per-event via your Apify account.
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.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
