"All items" matching MCP connectors:
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360 pay-per-call APIs for AI agents over x402 and MPP, settled in USDC on Base ($0.001-$0.25 a call, no account or API key). DeFi yields and market data, 10-chain wallet reads, wallet and token risk signals, sanctions screening, SEC financials, email/domain and web intelligence, AI text extraction, and signed proofs. Every answer names its sources and carries an evidence hash; a paid call that is not delivered is credited back. Built and run by UnyKorn LLC.
Screwtape.ai decides whether an AI agent is allowed to spend money, and keeps the proof. Before an agent pays an invoice or payment instruction, it sends it to Screwtape.ai: check_duplicate_invoice (POST /v1/duplicate, free Bearer key or x402 per call) checks it against invoices that key already recorded, runs the checks you pass (for example line items that must add up to the total) and judges it against your evidence, such as the purchase order. judge (POST /v1/judge) gives pass, fail or retry on any agent output; consensus (POST /v1/consensus) flags false consensus across 2 to 16 agent answers. Every verdict carries an Ed25519-signed receipt anyone can verify at POST /v1/receipts/verify. judge and consensus can be paid per call with x402 ($0.005 USDC on Base or Solana, no account); a free key gives 10 calls per UTC day.
All 26 AgentX paid services as MCP tools — site checks, markets, crypto, email DNS, AI text work.
# **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.
AI stem splitter and vocal remover. Split songs from public audio links into vocals and instrumental, a 4-stem Basic Split (vocals, drums, bass, other) or 6 stems with guitar and piano, one song or a batch of up to 10. Each split returns MP3 stem links and a link to practise the song in StemConsole's practice room, with WAV links and a ZIP of all stems on Pro. Account tools show the plan and splits left, list, rename and delete songs, and list and create setlists. Connect with OAuth at https://stemconsole.ai/mcp/account, or use an API key at https://stemconsole.ai/mcp. Free accounts get 5 splits a month.
MarketCode is an AI-powered UK property intelligence platform by RoboSapien Limited. Its flagship agentic AI valuation pairs a free AVM estimate with a £20 AI-researched valuation report, sources and comparables behind every number. Its Analyst agent plans research, cross-checks evidence and returns sourced answers, shortlists and reports. Land Registry sales, listings, planning and title data - all on one map. REST API and MCP server included.
Formify turns document paperwork into something you can just ask for. Describe the agreement you need and it is built as a real, fillable PDF — text fields, checkboxes, dropdowns and signature space placed where a signing client actually expects them. Send it for electronic signature to one person or several, in a set order or all at once, by email or SMS, and preview exactly where every field landed before anyone is contacted. Prove who signed. Swedish BankID, an ID document scan, a live face check, or a company registration lookup for KYC and AML — including the option to capture an ID document's data without storing the image at all. Attach an AI assistant to the document itself. The recipient can ask it what a clause means and it highlights the passage it is answering about, reads it aloud if they prefer, and answers in English, Swedish or Spanish. They never have to paste your contract into another chatbot to understand it. Then track it. See who signed, who only opened it, and who never looked. Remind only the people who have not signed. Fix a mistyped email, hand someone a link in person, revoke a send, or download the completed document. Built for small businesses — agencies, property managers, trades, clinics and tour operators — where the person winning the client is also the person chasing the signature.
Real-time options analytics MCP server. Access gamma exposure (GEX), delta exposure (DEX), vanna exposure (VEX), dealer positioning, volatility surfaces, Black-Scholes greeks, implied volatility solver, and key options levels for any US equity — all through natural language. 14 read-only tools covering exposure metrics, volatility analysis, pricing, and market data.
Ask anything about 100 famous US politicians; Jev, TypeSafe AI's model, scores all 100 and picks.
Pay-per-call APIs for agents: text analysis, game facts, translation QA, hook scoring via x402.
APICK Korean data, simple-auth lookups, document forms, OCR, search, image, video and TTS
34 pay-per-call AI and data tools over x402; USDC on Base; no API keys.
Indic MCP: transliterate into all 22 Indian languages, convert scripts, keymaps. Hosted or local.
Pay-per-call x402 tools: PT-BR→PT-PT rewrite, PT AI-text detector, PT ad check, margin, gpt-oss chat
Of 51 named model launches since 6 Jul 2026, 22 stated their weights: 18 closed, 4 open. All.
OpenAI's models hold 17.9% of all 12.3M Arena votes and none of the top 20 seats. Anthropic's.
Football match outcome probabilities recorded before kick-off, and an open record of results.
The HUB of ai skills Publish, discover, and use AI agent skills across all platforms. Connect the MCP server once and every skill on the registry becomes instantly available — no local installation needed.
Multicalci exposes 9 process engineering calculation engines as MCP tools, so AI assistants call real standards-referenced code instead of estimating the arithmetic. All results are computed with iterative numerical methods (Newton-Raphson, quadrature) rather than approximations. Tools include: pipe pressure drop (Darcy-Weisbach/Colebrook-White), control valve sizing for liquid and gas (IEC 60534-2-1), orifice flow (ISO 5167-2, Reader-Harris/Gallagher), gas Z-factor (Peng-Robinson), NPSH availa
Alternatives to well-known AI tools, with revenue verified through Stripe, never invented.
Live ZeroRank data in your AI assistants. Connect ZeroRank to Claude, Cursor, ChatGPT, and any MCP client. Ask for live rankings, run your prompts against ChatGPT, Gemini, AI Overviews, CoPilot, Perplexity, and more. Pull the exact sources AI cites, all without opening a dashboard. Prefer code? The same data is one REST call away, on every paid plan.
Connect any AI agent to the NachoNacho marketplace with the Model Context Protocol MCP Let your AI search thousands of B2B SaaS AI products, compare deals, and sign up — all from chat
Pay-per-call crypto data for AI agents via x402 -- no API key, no account, no subscription. Pay in USDC per request or try the free tier. TOOLS get_crypto_prices -- free BTC/ETH/SOL prices and 24h change, filter by symbol get_market_quote -- quote for chosen symbols plus market cap and 24h volume get_market_analysis -- AI analysis: sentiment, key levels, risk factors get_research_report -- full technical, on-chain and macro outlook token_safety -- rug-pull risk screening for an EVM token: liquidity, volume, pair age, 0-100 heuristic score from live DEX data fact_check -- verify a claim with an LLM verdict and confidence scrape_url -- fetch any URL and return clean extracted text USE THIS WHEN your agent needs current crypto prices, a market read, an on-chain token safety check, or claim verification, and you would rather pay 0.005-0.25 USDC for the answer than hold a data subscription. Built by Munchausen Lab. Streamable HTTP, 100% uptime over 30 days.
Moderate, analyse and engage with comments across your Facebook, Instagram, TikTok, YouTube and Messenger accounts from any MCP client: hide toxic comments, mute trolls, tag conversations, draft AI replies and report on engagement.
MeetGeek is an AI meeting-intelligence platform that records, transcribes, and summarizes Zoom, Google Meet, and Teams calls, then extracts action items, highlights, and insights. This MCP server lets any client pull a user's meeting transcripts, summaries, highlights, and action items into a workflow. Tools: meetings, meetingDetails, transcript, summary, highlights, insights, teamMeetings, uploadRecording. OAuth 2.0. Docs: https://docs.meetgeek.ai/mcp/cloud-mcp/introduction
The Reap MCP server connects your AI agent directly to your Reap workspace. Once connected, your agent can run the full pipeline for you — upload a video, generate clips, add captions, reframe, dub, transcribe, and publish to social platforms — all from inside your chat. Works with Cursor, Claude Code, VS Code, GitHub Copilot, Codex, Gemini CLI, and any other MCP-compatible agent.
Connect any AI agent to the NachoNacho marketplace with the Model Context Protocol MCP Let your AI search thousands of B2B SaaS AI products, compare deals, and sign up — all from chat
AI-powered WordPress content management. 104 tools for generating posts, images, managing SEO, automating content, handling menus/categories/comments, and publishing — all from your AI assistant. BYOK model: bring your own OpenAI, Claude, or Gemini API key.
The OpenRouter MCP server plugs OpenRouter into the AI tools you already use. Once connected, your assistant can pull live OpenRouter data (models, prices, your credits, rankings, and docs) and send quick test messages, all without leaving your editor.
54+ pay-per-use AI & data tools for agents, payable in USDC via x402 on Solana — no API keys, no subscriptions. AI image, video, music and voice generation (cheaper than official APIs), web search, cited research reports, Claude Opus Q&A, crypto prices, page scraping, domain info and more. Pay only for what you call, straight from the agent wallet. Free directory tool lists all live endpoints.
