"Tor Project" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Document to Markdown: convert Word, Excel, PowerPoint and PDF files to Markdown for an LLM.
PDF/DOCX/XLSX to markdown + RAG chunks, $0.001/page; failed files never charged.
Fastio gives your team and AI agents a workspace for each project, bringing source files, comments and new work together. Connect a compatible MCP client to find files, answer questions from project material, and save results where the team can review and use them. \ Sign in through Fastio and choose the workspaces the connection can reach. Read Only connections expose read tools; Read & Write connections also allow changes. \ • **Files and folders:** browse, read, upload, and organize files, with version history and trash. • **Search:** find files by keyword; search file content and meaning when Deep Indexing is enabled and files have been processed. • **Metadata:** read, set, and search metadata fields, including extracted fields where available. • **Shares:** create and manage shares for sending or collecting files. • **Comments and members:** read and add comments, and manage workspace membership within your permissions. • **Activity:** search workspace events to see what changed. \ Hosted by Fastio, with no server installation required. \ • **Claude and most MCP clients:** https://mcp.fast.io/mcp/tools • **ChatGPT:** https://mcp.fast.io/mcp/operations • **ChatGPT and Codex:** Fastio plugin • **Claude Code, Cursor and similar coding agents:** https://mcp.fast.io/mcp/code • **Setup and client-specific capabilities:** https://mcp.fast.io/docs \ Paid plans. Monthly plans include a trial of up to 30 days. A card is required, and billing begins when the trial ends or trial credits run out, whichever comes first. No free plan.
CVE, KEV, MITRE ATT&CK, CWE and detection graph for AI agents; every link names its source.
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.
Context crossmatch: compatibility typing for context ingestion. $0.005/check.
Persistent project context for xAI Grok. IANA-registered .faf format.
x402 clean article text and metadata for AI/RAG. $0.002 per successful article.
x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
1 Google Search endpoints. Pay per call in USDC via x402.
Appie.run's MCP server lets AI clients write articles in your brand voice, train and query website chatbots, and create trackable short links. Bearer auth with a project API key; 500 free credits on signup. Docs: https://appie.run/docs/mcp
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
The context platform for AI agents: code search, team decisions, and grounded project context.
Self-hostable shared brain for you and your AI agents — docs, flows, meetings, decisions, rationale
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
