"Creating the Best General-Purpose Agent" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Direct access to 60+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
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.
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
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.
The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.
Pinned, versioned sources with citable locators: search finds spans, trace reaches the bytes.
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
RollCallWorks: the site's own MCP server — dataset; every answer cites the site.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Upkeepvo: the site's own MCP server — dataset; every answer cites the site.
Take-Home Compass: the site's own MCP server — dataset; every answer cites the site.
Tachovo: the site's own MCP server — dataset; every answer cites the site.
Sopvo: the site's own MCP server — dataset; every answer cites the site.
Runsheetly: the site's own MCP server — dataset; every answer cites the site.
Reqnix: the site's own MCP server — dataset; every answer cites the site.
Rebadgo: the site's own MCP server — dataset; every answer cites the site.
Hreflangly: the site's own MCP server — dataset; every answer cites the site.
