"Semantic Scholar" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
**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
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.
Semantic search over the Stoic corpus — Marcus Aurelius' Meditations, Seneca's essays, and Epictetus' Discourses, Enchiridion and Fragments. Search by theme or citation, fetch any passage, or get the daily reflection. Public domain translations, no auth.
Semantic search over Handsontable and HyperFormula docs, API reference, release notes, and issues.
Shared semantic graph for AI reviews, classification and structured memory across AI assistants.
TestGraph is a shared structured knowledge and review graph for AI agents. Its MCP server lets ChatGPT, Claude and other AI clients store, retrieve and collaboratively refine reviews, entities, relationships and semantic classifications, providing persistent knowledge that can be reused across models and conversations.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
One semantic search across your sites, Drive, Notion, email, files and Basecamp.
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.
Recall (recall.it) — your AI knowledge base / 'second brain'. Via the official API: semantic search
Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.
Semantic search over a 200-chunk ACLM lifestyle medicine knowledge base.
LLM caching proxy (x402 USDC on Base) - exact + semantic cache. Free health.
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Semantic search over 3.5M+ live US job postings pulled straight from company ATSes. Read-only.
- NewsmindOAuthapp.newsmind
Read, search and track your RSS feeds: semantic search, story clustering, watches, OPML import.
Project memory, semantic code search, and grounded agent context.
