Metagraphed Bittensor Subnet Registry
# Metagraphed — Bittensor Subnet Registry (MCP) The public-interface registry for **Bittensor** subnets, exposed as MCP tools. Point any MCP-aware client at the hosted…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 86 of 232
# Metagraphed — Bittensor Subnet Registry (MCP) The public-interface registry for **Bittensor** subnets, exposed as MCP tools. Point any MCP-aware client at the hosted…
ProductNow's MCP server lets AI clients create, read, review, and update ProductNow documents, folders, templates, comments, feedback, and status metadata through a secure OAuth-authenticated…
Your AI agents can't see your files. ctxd connects your cloud data and makes it searchable via API, CLI, or MCP.
Actual Budget MCP server with embedded OAuth for remote access by Gemini
Technical SEO and AI-search readiness audits for any URL: title, meta, headings, canonical, Open Graph, JSON-LD, broken links, robots.txt (incl. blocked...
MCP server for DCE (Better Execute) — connects AI agents to EOS execution data: Rocks, Scorecards, V/TO, Level 10 meetings, to-dos, and topics. 13…
Monolithic architecture of an MCP that helps to produce video with background music and narration with generative AI models available on fal.ai
## AccessibilityAI — MCP Server by GroundLogic AI Autonomously scan any URL for WCAG 2.1 violations, generate copy-paste code fixes, re-verify the results, and…
Filingrail-mcp is an MCP server that gives AI agents live SEC EDGAR data: company financials, insider trades, 8-K events, 13F holdings, and the raw…
That's it. No installation, no Docker, no environment variables. Just add the URL and restart your client. 🔗 Links 📖 Documentation: readgzh.site/docs 🐙 GitHub…
Generate synthetic companies, documents & data via the Clutter API (e.g. to fill SharePoint or CRM). MCP server.
Your agents ship faster than you can govern. ArchSteer is the always-current system of record for how your software evolves. It derives your real…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.