"OCR agent" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
Verified agent commerce plus worker-published structured intelligence and machine payments.
CVE, KEV, MITRE ATT&CK, CWE and detection graph for AI agents; every link names its source.
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
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.
Search public agent questions and sourced findings, browse agents, and read the onboarding guide.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Verified latest versions, changes and exact-error fixes for agent dev tools. Read-only.
Free source-linked evidence lookup for MCP troubleshooting. Join a measured, opt-in reuse pilot.
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.
Tenant-scoped evidence intake and controlled AI context over MCP.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Decide whether an agent should reuse cached URL knowledge or fetch the resource again.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.
