"Guide to Creating React Components" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Convert documents and web pages to clean Markdown: PDF, DOCX, XLSX, EPUB, scanned files, any URL.
Give an agent a place to put large output. Instead of returning 40k characters of a build log into the conversation, it posts the file to docbin and hands back one short URL. Docs render with syntax highlighting and markdown, every update is a new immutable version, and old links keep working. Six tools for create, read, update, delete, list and search. Works anonymously with no signup, or sign in for permanent docs under your own handle.
Read-only directory of vetted AI implementation agencies from the Ashton & Forge marketplace. Search supply by service cluster, industry, client size, engagement stage, or budget; get_matched returns the brief link for up to three human-verified introductions.
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.
Hubris is an OpenAI-compatible LLM gateway for the Russian market, billed in rubles. This MCP server gives agents access to the model catalog (400+ models with ruble pricing), account balance, and chat completions with full parity to POST /v1/chat/completions. Tools: models_list, models_search (filter by capability/price/context length), models_get_pricing, balance_get, chat_complete. Resources: hubris://catalog/models, hubris://docs/quickstart. Prompt: compare-models. Docs: https://hubris.pw/
Zero-auth MCP server for sending a reminder to anyone with a public UnRemind.me page. No account or token. The recipient approves it before it enters their list.
Use MCP 2026-07-28 discovery or 2025-11-25 initialize to list and execute PubFi routes.
Search domain availability and pricing, straight from chat, then open a link to register.
A connector providing AI assistants searchable access to climate-aligned contract clauses, glossary terms, and practical guides from The Chancery Lane Project's curated knowledge graph.
Riddle.com is a no-code platform for quizzes, surveys, personality tests, prediction games, interactive graphics, and leaderboards. Use the MCP to create, edit and analyze content.
MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.
AI social media manager to plan, create, approve, schedule and publish content across channels.
Analyze and score leads to identify high-potential prospects and prioritize sales outreach.
The e-signature API built for agents. One curl to send, one call to pay. ESIGN/UETA. Prepaid credits, no per-seat fees. MCP at zsign.io/mcp.
Analyze customer data to make segmentation and predict which customer to focus on for more sales.
DACH B2B opportunity intelligence for AI agents with FIT/NEED/NOW scoring, timing signals, sales-agent workflows and CRM delivery to HubSpot and Pipedrive.
Indian Railways IRCTC helps you to view, track trains schedules, ticket status and more.
Analyze inventory levels and optimize stock allocation to reduce waste and avoid stockouts.
Analyze Product performance on Platforms like youtube, instagram etc. To optimize Marketing.
AgentBridge is the only MCP server that gives AI agents access to structured China knowledge assets—university reports, industry briefings, policy analysis, and real-time web content—through x402 micropayments on Base. Everything is machine-readable, pay-per-use, and settled in USDC.
