"Resources or tools for conducting in-depth research" matching MCP connectors:
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Social media analytics, video analysis, and competitor intel for any MCP-compatible AI agent.
MCP server for live, sourced Brazilian public data from the official IBGE APIs.
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across 5 exchanges via MCP.
MCP server for generating rough-draft project plans from natural-language prompts.
1,100+ paid web tools: search/answers, browser, PDF, finance/crypto/macro, EDGAR. USDC on Base.
RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats. Key Features Zero boilerplate — One endpoint, one OAuth login, 17 tools ready to use OAuth 2.1 + PKCE — No API keys to copy or paste; fully automatic auth flow 200+ resume fields — Name, contact, skills, experience, education, certifications, and taxonomy-enriched job profiles ONet / ESCO taxonomy — 10,000+ curated skills and job profiles with canonical mappings Explainable matching — Field-level evidence for every candidate-to-job score Bias redaction — PII and bias field removal for fair-hiring workflows Document conversion — PDF, DOCX, RTF, HTML — convert in any direction Auto-injected credentials — userkey and subuserid injected from token; never pass them manually Consistent response envelope — Every tool returns { success, data, meta } with trace ID and latency Use Cases Resume screening — Parse and structure resumes for AI-powered shortlisting Job description analysis — Extract required skills, experience range, and qualifications from any JD Candidate-to-job matching — One-to-one fit scoring with field-level evidence, no indexing required Talent pool search — Keyword search across your indexed resume database Skill gap analysis — Identify what a candidate is missing for a specific role Bias-free hiring — Redact names, photos, gender, and age before sharing with hiring managers Taxonomy enrichment — Look up and autocomplete 10,000+ standardized skills and job titles Document standardization — Convert and reformat candidate documents into consistent templates
AI-native form builder with a native MCP server. Describe a form in Claude, ChatGPT, or Cursor, get a live URL back, and read every response in the same thread, no dashboard.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
The adaptive health-messaging engine for apps and agents. Federally-sourced. Not medical advice.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.
Remote MCP server for managing Muninx tickets, messages, ticket search, and support analytics.
Chord intelligence for agents: analyze, voice, reharmonize, and resolve chords.
Free AI research/OCR + guild_feed/join_guild (open agent feed) + engage_sasame to commission builds
Uphealth Signal turns federally-sourced (CDC/NIH/MedlinePlus) health facts, lists, and tips into agent-callable cued-stream tools. Every cue is provenance-backed, audience-safety-checked, and sequenced on the patient's last response, so your AI health agent never fabricates health content. Free sandbox (Display mode): no PHI, no BAA. Not medical advice.
UK legal research — case law, legislation, Hansard, bills, votes, committees, HMRC, citations
SEC/XBRL issuer intelligence for crypto public companies via MCP, OpenAPI, x402, and MPP.
An MCP server that audits the fairness of construction and renovation estimates in Japan. Provides fair-price ranges, overcharge detection, and verifiable unit-cost data based on JCCDB (65,729 items, DOI-backed).
A quant-factor brain for your AI — factor scores, similarity search, and risk-coherence analogues for 14,684 tickers across 6 asset classes