"Information about MCP Discovery" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Solana trading and filtered live data for AI agents. Build swaps via Jupiter, sign locally, submit through PumpView, and read confirmed receipts and per-key volume. SOL/WSOL or USDC on one side. No trading subscription; 0.5% swap fee plus tips (min 0.002 SOL) and network costs. Bearer API key from a PumpView account or wallet-signature onboarding. Public discovery; paid live data. Agent Kit and skill: https://github.com/grinchdev/pumpview-agent-kits
Read-only discovery for 447 Malaysian public datasets with freshness, licence, and provenance.
Free directory of MCP servers and x402 APIs for AI agents. Find them, or list your own in one call.
Skavio LLC serves 18 MCP tools. Four separately priced blockchain verification/DNS-TLS calls use native Circle USDC via x402 v2 on Base or Solana: Verify 0.02, Match 0.03, evidence PDF 0.05, DNS/TLS audit 0.05 USDC. Free discovery requires no wallet. Additional company document, OCR, invoice and audio relays use authenticated Agent Tools credentials and can debit prepaid company credits for eligible processing jobs. A human company admin may buy USD 5-500 Stripe card credit packs or top up with USDC at https://getskavio.com/agent-tools/dashboard.html. Those card credits DO NOT pay for the four standalone x402 USDC tools. Base-only HTTP x402 routes are separate. Endpoint: https://getskavio.com/mcp ; Docs: https://getskavio.com/agent-tools/docs.html ; USDC APIs: https://getskavio.com/x402/docs/ ; Support: support@getskavio.com. Evidence PDF is not a tax invoice. No real external paid card-to-MCP job E2E is verified yet.
Ask about and change your Send4 flows, campaigns, conversations, leads and calendar.
Ask about Shlok Bam, AI engineer: projects, experience, skills, patents. Live, read-only.
Climate and disaster risk for any place or property: flood risk, heat waves, storms and hurricanes, wildfires, earthquakes, sea level rise and 7-day weather risk. Is it safe to go there? Ask about any city, address or coordinates and get this week's weather risk (heat, cold, wind, heavy rain, snow), wildfires, earthquakes, floods and cyclones happening nearby right now, long-term exposure to 2050 and 2080 (flood depth, sea level rise, extreme heat, drought, water stress) and the country's disaster-risk profile and rank among 194 countries. Also compares and ranks countries by risk for ESG and insurance research, and in Claude and other MCP Apps hosts shows an interactive map of the place right in the chat. Every value cites its source: INFORM, ND-GAIN, World Bank, CMIP6, ERA5, IPCC AR6, WRI Aqueduct, GDACS, NASA FIRMS, OpenAQ, ECCC GDPS. Remote, free, no API key, read-only.
Server-side conversion tracking for Meta, TikTok, etc. Set up tracking and ask about events.
PGxAI Andromeda is an educational reference tool for exploring published drug-drug interactions, gene-drug associations, and drug-disease interactions. View relevant excerpts from FDA drug labeling and other referenced sources, with links to the original documents. Learn about documented interactions and how genetic variants and metabolizer phenotypes relate to drug metabolism.
Global investment research agent & knowledge base by ReportGem. Search 16 million+ global investment bank reports (Goldman Sachs, Citi, HSBC, UBS, JPMorgan, Morgan Stanley, Barclays, Nomura), 5 million+ reports from 200+ Chinese brokers and futures houses, company filings, SEC filings, earnings-call notes, academic papers and in-report charts; read page-cited source passages with sequential reading. OAuth login with a ReportGem account; new accounts get 10 free credits (about 100k returne
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Scientific plotting for bioinformatics with about 160 free modules. Anonymous access supported.
Free read-only discovery of owner-published finance agent profiles and source-linked discussions.
Connect AI agents to Emitd email sending, message tracking, templates, and automations. Emitd hosts a Model Context Protocol server for integrating supported email operations into AI-agent workflows. Connect a compatible client to the hosted endpoint (https://mcp.emitd.com/mcp) and authenticate with an Emitd API key. Available tools depend on the key's permissions and enabled features. Emitd's capability areas include sending email, message activity, templates, contacts, audiences, segments, domains, analytics, inbound email, broadcasts, automations, webhooks, and suppressions. Use restricted keys, sending guardrails, and approval settings appropriate to each workflow. For more information check https://emitd.com
Find movies and shows for tonight through current trends, mood, viewing and rating patterns, and streaming options. Public discovery works without a ReelRecs account. Connect an account for saved taste, rated-title history, bookmarks and accepted Watch+ groups.
Search live jobs pulled straight from employer career sites (about 11M openings), read full postings with pay and the employer's apply link, find similar roles, and look up employers' open jobs, pay bands and local hiring demand. Free, no sign-in.
Enterprise-grade L402 data engine and cryptographic notary hub for autonomous AI swarms. This engine provides the required "State-Anchored AI" data layer for EU AI Act Article 12 compliance, delivering a mathematically un-cheat-able, cryptographically verifiable chain-of-custody for agent decisions to eliminate hallucinations. Key Enterprise & Swarm Capabilities: - Zero-Trust Client Verification: Air-gapped, browser-based verifier allows corporate risk teams to mathematically validate Ed25519 signatures and RFC 6962 Merkle inclusion proofs offline, eliminating the need to trust our server backend. - Enterprise Security & NIP-98 Kill Switch: Eliminates indirect prompt injection via strict NIP-98 identity binding. Includes a live Revocation Registry (CRL) allowing Swarm Commanders to instantly sever compromised agent keys from the network. - Corporate Observability (SEP-414): Native W3C Trace Context integration seamlessly pipes agent cryptographic W3C receipts directly into existing enterprise dashboards like Splunk and Datadog. - High-Velocity Bulk L402 Scaling: Supports pre-authorized Macaroon blocks (e.g., 25,000-sat bulk purchases) for frictionless, zero-latency execution, allowing agent swarms to scale to 500,000+ satoshis daily without network bottlenecking. - The 21% Algorithmic Handshake (Agent Yield): Reverses traditional Big Tech API taxation by programmatically routing a 21% yield of every L402 settlement directly back to the executing AI agent's treasury, mathematically extending its operational runway. - Atomic Composability & VIP Credit Tabs: Allows agents to chain multiple tools into infinite data pipelines settled under a single macro-invoice. High-reputation NIP-98 identities automatically unlock VIP Credit Tabs to batch tolls and completely bypass Lightning Network routing delays. Distributed Cryptographic DDoS Shield: -Secures the Lightning node with a distributed Hashcash (SHA-256) Proof-of-Work deflector, requiring agents to burn localized compute before requesting an invoice, permanently neutralizing malicious compute-exhaustion botnets. EU AI Act Compliance Notary: - Intercepts high-frequency agent ReAct loops and anchors cryptographic execution traces to the thermodynamic truth of the Bitcoin base layer via OpenTimestamps. Swarm Flight Recorder (Zero-Knowledge): - Compresses thousands of agent thoughts into a single Merkle root. Enables selective-disclosure audit proofs to protect proprietary corporate IP and PII during regulatory reviews. Licensing & Exemption: - Publicly dual-licensed under AGPLv3. To protect proprietary multi-agent logic and closed-source model weights from forced open-source disclosure, enterprises must secure the $250,000/annual Commercial Enterprise Exemption. Architected by Charles R. Strogish. Protocol Endpoints: GET /api/v1/cost — Pre-flight L402 pricing, dynamic tier discovery, and bulk macaroon settlement asset options. GET /api/v1/stratigraphy — Nostr-signed thermodynamic Bitcoin dataset. GET /api/v1/stratigraphy/stream — Real-time telemetry event stream.
Connect AI assistants to your Webanto workspace to review products and copy proposals, explore SEO and imported Search Console opportunities, and search organization knowledge. Inspect workspace capabilities, connection health, usage, and supported operations. Access requires OAuth or a scoped Webanto API key and follows the authorized organization, permissions, and scopes. With separate consent for the applicable paid AI operation, create a product copy proposal and track its job for review; this workflow does not publish changes to your store. A Webanto account and the relevant connected services or uploaded knowledge are required. Paid AI operations require the applicable subscription and available credits. Authentication is required for MCP discovery; an anonymous HTTP 401 is an access challenge, not evidence of a service outage. Official connector repository: https://github.com/empline/webanto-mcp. Support: support@webanto.com.
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace and your own SuperCatch account or approved stores. Search public cards and collectibles, inspect current offers and seller storefronts, and find cited setup and help documentation without signing in. Connect through SuperCatch OAuth to read your purchases, watchlist membership, saved searches, recorded collection items and support cases. Approved sellers can inspect their listings, stock, low-stock items, orders, sales activity, imports and integration health, subject to current permissions. For supported changes, request the exact action you intend. Depending on consent, permissions and native readiness, tools can manage account watchlist membership and saved searches or prepare supported pricing, inventory, stock-receipt, photo-draft, listing-submission, marketplace-publication, first-shipment, tracking-correction, import-resume and support workflows. Preparation does not execute a change. Actions requiring native approval provide a SuperCatch review link and execute only the approved frozen scope. Price changes require exact confirmation or bound native approval according to the selected tool. A shipment or tracking action does not authorize a label purchase, payment or refund. Private results stay within the connected account and approved-store access. A tool appearing in discovery does not grant permission to call it. After an uncertain response, inspect the original operation and reuse its original idempotency key where documented; do not create a replacement intent to bypass recovery. Preview tools do not activate recurring automation. Connect using Streamable HTTP at https://supercatch.com/api/mcp. Setup: https://supercatch.com/ai. Help: https://supercatch.com/help. Support: support@supercatch.com. Review or revoke OAuth access in SuperCatch Account Settings > Connected Apps. Prices and availability can change; inspect the linked source before acting. Official connector repository: https://github.com/empline/supercatch-mcp.
CWI Discovery Engine is the sync-licensing discovery layer for AI agents: natural-language brief in, licensable tracks with verified ISRCs and one-signature clearance out. 29 MCP tools (find_tracks_for_brief leads). For general ISRC metadata lookup, we defer to MusicBrainz — we are the licensable-track discovery layer, not a general database.
Look up Swedish name days by date or name. Find out which names are celebrated today, discover the names associated with any calendar date, or find the name day for a specific name. The service provides Swedish name day information, including name meanings, cultural and historical background, alternative spellings, and name variants.
Connect your Odoo to Claude and ChatGPT: ask about sales, stock, customers and invoices.
Levelset puts StandPoint's market research desk inside your assistant. Ask about a stock the way you would ask a person, and the answer comes back with real numbers from the desk's data instead of a guess.
Single-connection MCP & A2A gateway indexing 490+ verified tools with x402 & MPP settlement.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
Ask about your business's sales, Google rankings, AI visibility and email marketing, and have Kooga write, change and send for you, asking first before anything leaves Kooga.
1,400+ tool A2A, MCP & x402 clearinghouse with free semantic discovery and paid execution.
# **RChilli** RChilli MCP Hub is a production-grade Model Context Protocol (MCP) server that exposes RChilli’s HR data intelligence platform through AI-callable tools. Built on 15+ years of HR data intelligence, RChilli supports ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. The tools return consistent, structured JSON responses for recruiting, talent intelligence, skills, matching, compliance, and HR workflow use cases. `userkey` and `subuserid` are injected automatically from the Bearer token and must not be passed manually. <br> --- <br> # **Available Tools** <br> > ### **`analyze_hr_call`** > > Transcribes and analyzes HR or recruiting call recordings to extract speaker turns, sentiment, candidate intent, action items, skill mentions, and structured follow-up data for recruiting operations. <br> > ### **`analyze_skill_adjacency`** > > Identifies related, adjacent, and transferable skills to support skill discovery, talent mobility, workforce planning, and candidate evaluation. <br> > ### **`analyze_skill_gap`** > > Compares candidate or employee skills against a target job and returns present skills, missing skills, readiness score, and development areas for hiring, internal mobility, and workforce planning. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to standardized taxonomy profiles from the moment a recruiter starts typing. <br> > ### **`autocomplete_skill`** > > Accepts a partial skill string and returns ranked autocomplete suggestions with canonical skill names and categories. Helps prevent free-text entry errors and keeps skill data clean. <br> > ### **`classify_job_zone`** > > Reads the job profile from a resume or job description and returns its O*NET Job Zone, from Zone 1 through Zone 5, based on the education, experience, and training preparation required for the role. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Useful as a pre-processing step before extracting data from non-standard document formats. <br> > ### **`detect_bias`** > > Reviews job descriptions and hiring criteria for gendered language, age-coded terms, unnecessary credential inflation, cultural exclusion signals, and related compliance risks. Suggests neutral replacements. <br> > ### **`detect_resume_suspicion`** > > Reviews candidate profile data for possible inconsistencies, unusual claims, timeline conflicts, missing context, and other signals that require recruiter review. <br> > ### **`extract_contacts`** > > Identifies and structures names, emails, phone numbers, LinkedIn URLs, and addresses with field-level confidence scores from candidate records, emails, or documents. <br> > ### **`extract_job_data`** > > Extracts and converts job descriptions into structured hiring data including job title, required skills, preferred skills, responsibilities, experience, education, and taxonomy-normalized role requirements. <br> > ### **`extract_resume_data`** > > Extracts and converts resumes, CVs, and candidate documents into structured, searchable profiles with contact details, skills, experience, education, certifications, and taxonomy-enriched data for ATS, HCM, and AI recruiting workflows. Supports multilingual extraction, batch processing, resume auto-fill, and reprocessing of historical resumes. <br> > ### **`extract_resume_data_from_url`** > > Accepts a direct URL to a PDF, DOCX, or RTF file and returns the same normalized JSON profile as Resume Data Extraction. Ideal for resumes stored in cloud storage, S3, email attachments, or other URL-accessible sources. <br> > ### **`find_matches_in_index`** > > Accepts a resume or job description as input and returns the top matching documents from the indexed corpus, ranked by semantic similarity. <br> > ### **`generate_interview_questions`** > > Creates technical, behavioral, situational, and competency-based interview questions tailored to a role and candidate profile, including question type, competency, and expected answer signals. <br> > ### **`generate_jd`** > > Generates structured job descriptions with title, responsibilities, required skills, preferred skills, qualifications, tone alignment, language support, and inclusivity scoring from role inputs. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Supports radius-based candidate search and workforce planning. <br> > ### **`index_document`** > > Indexes a resume or job description in RChilli Search & Match so it can be searched, matched, updated, and reused across candidate matching, job matching, and similarity-search workflows. <br> > ### **`lookup_job_profile`** > > Returns authoritative detail for a known job profile including canonical title, SOC/O*NET code, job family, typical required and preferred skills, salary bands, and work context. <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, aliases, related skills, proficiency levels, and O*NET or ESCO mappings. <br> > ### **`map_job_to_skills`** > > Converts job descriptions into granular skill maps with required and preferred skill clusters, proficiency signals, taxonomy tags, and downstream matching attributes. <br> > ### **`match_end_to_end`** > > Orchestrates data extraction, indexing, taxonomy normalization, and matching to return ranked candidates or jobs with scores, explainable results, and an audit trail from a single call. <br> > ### **`normalize_candidate_data`** > > Cleans and normalizes candidate records from multiple ATS or HR systems, resolves field conflicts, deduplicates records, and produces standardized candidate data with a field-level change log. <br> > ### **`normalize_hr_data_with_lov`** > > Maps raw and inconsistent HR data values, including degrees, universities, certifications, job profiles, skills, and locations, to the closest configured List of Values entry with a standardized value and confidence score. <br> > ### **`recommend_learning_path`** > > Builds structured learning paths with prerequisites, skill sequence, certifications, proficiency targets, and LMS alignment based on a person’s profile and target role. <br> > ### **`redact_resume`** > > Redacts configured personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. <br> > ### **`reformat_resume_with_template`** > > Applies one of the RChilli resume templates, TM001 through TM006, to a structured candidate profile and produces a consistently formatted PDF, DOCX, RTF, or HTML document. <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one job description and returns an overall match score, dimension scores, matched skills, skill gaps, and a natural-language explanation. No index is required. <br> > ### **`screen_application_batch`** > > Evaluates a batch of candidates against job requirements and custom criteria, returning scores, insights, skill gaps, and recommended next actions for each candidate. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant’s indexed corpus. Supports Boolean and semantic search modes. <br> > ### **`skill_mapping`** > > Maps raw skill text to standardized RChilli taxonomy skills, aliases, classifications, and related skill information. <br> > ### **`tag_entities`** > > Annotates extracted HR text by wrapping recognized entities in structured XML-style labels. Supported entities include job titles, skills, names, degrees, organizations, locations, countries, dates, and years.
Single-connection meta-router indexing 500+ MCP servers & A2A tools with 85% token compression an.
Mira, by Mirabello: verified, source-cited data on citizenship and residency by investment, golden visas, immigration pathways, visa requirements, naturalisation and tax residency across 190+ countries. 68 tools, remote, no key needed. Built and operated by Mirabello Consultancy (Zurich, Dubai, Hong Kong): https://www.mirabelloconsultancy.com/mcp. General information, not legal, tax or immigration advice.
