"Improving React Native Development Experience" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Generate synthetic random user data for testing, demos, and development without using real persona.
Skavio LLC provides 18 hosted MCP tools for native Circle USDC payments via x402 v2 on Base and Solana: transaction verification, recipient/amount matching, blockchain evidence PDFs, DNS/TLS audits and agent utilities. Discovery and status tools are free; paid MCP calls require explicit buyer wallet authorization. The separate standalone Base-only HTTP APIs include USDC Verify (0.02), Match (0.03), Evidence PDF (0.05), and four DeepSeek-only web operations: Fetch (0.01), Search (0.02), Extract (0.02), Extract + Analyze (0.03 USDC). Those HTTP routes are not additional MCP tools. Evidence PDFs are not tax invoices. Docs: https://getskavio.com/x402/docs/ ; seven-route discovery: https://getskavio.com/.well-known/x402 ; support: support@getskavio.com ; privacy: https://getskavio.com/privacy/ ; terms: https://getskavio.com/terms/
Find and install React charts from your coding agent: search 132 chart types by the question your data answers (100 free and MIT), get each type's props and the JSON Schema of its data, the component files and the design tokens. No auth needed; a Chartory registry token unlocks the code of the paid types.
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.
Cloud-native, serverless Model Context Protocol (MCP) server using Streamable HTTP (https://brightcanoe.com/api/mcp) that enables AI agents like Claude and Cursor to check live calendar availability, create appointments, search Client 360 CRM records, and retrieve 24/7 AI voice receptionist call logs.
Pay-per-call MCP tools for agents: 20 free calls a day, then pay per call with x402 (USDC on Base mainnet) or a prepaid spend key. 30 tools — text/data utilities, x402/EVM-native tools (decode an x402 challenge, verify a settlement receipt on-chain, EIP-712 hashing, ABI encode/decode, Merkle-proof verify, keccak256, EIP-55 address checks) and independent providers' tools priced from $0.001. Signed delivery receipts. No sign-up.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
Pay-and-anchor a hash or AI decision log on Cardano (CIP-0190). Non-custodial. MCP-native. Mainnet.
Tailor your resume to any job, get an ATS score with fixes, and export a PDF, right inside ChatGPT or Claude. Try asking: - "Tailor my resume to this job description: [paste the job]" - "Score my resume against this job and list the fixes" - "Make a Product Manager version of my resume" - "Export my tailored resume as a PDF" Why you can trust it: - Uses only your real experience. Nothing is invented. - Your original resume never changes. Every tailored copy is saved as a new version you can restore. - Secure OAuth sign-in with your CVEmber account. No API keys to paste. Pricing: CVEmber MCP is included with Pro and Pro Lifetime, one-time passes with no subscription and nothing that renews. Separately, building and scoring a resume on the cvember.com website is free. Works with: ChatGPT, Claude and any MCP client that supports remote servers with OAuth. Cover letters are written on cvember.com with the same account. Topics: resume, CV, ATS, job search, career, resume tailoring, cover letter. Website: https://cvember.com Setup guide: https://cvember.com/integrations Privacy: https://cvember.com/privacy Terms: https://cvember.com/terms Support: support@cvember.com
Simceptor is an AI-native Mock API simulation platform with a built-in MCP server. It enables AI agents to create, inspect, update, and test dynamic mock APIs, conditional response rules, stateful session simulations, and network latency directly from context.
Pay-and-mint Cardano NFT (CIP-25) in one atomic tx. Non-custodial. MCP-native. Mainnet.
Connect Chatway, an AI-powered website live chat and customer support platform, to ChatGPT, Claude, Gemini, Cursor, and other AI assistants using MCP. Chatway helps businesses communicate with website visitors, manage customer conversations, and deliver faster support across multiple channels, including website live chat, email, WhatsApp, Instagram, and Facebook Messenger. Native mobile apps for iOS and Android let support teams manage conversations and respond to customers on the go. With Chatway's MCP server, AI agents can access and manage customer support operations. Search and read conversations, send replies, add private notes, resolve and assign chats, manage contacts, retrieve customer information, and search knowledge base articles. Chatway also includes a built-in AI Support Agent for automated customer service, a shared team inbox, support ticket management, a customizable website chat widget, a help center, team management, automated workflows, visitor tracking, and integrations with popular platforms, including WordPress and Shopify. Connect external AI agents to automate customer support, answer customer questions, access conversation history, and streamline support workflows without building custom integrations. Manage your customer support from anywhere using Chatway's web dashboard or mobile apps. The hosted MCP server supports Streamable HTTP and secure OAuth 2.1 authentication with scoped permissions. Available on all Chatway plans, including the Free plan. Conversation limits apply. Website: https://chatway.app Documentation: https://developers.chatway.app/mcp/guides.mcp_overview
# **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.
Fuzzbucket is an AI-native creative workspace that enables AI agents to generate on-brand images, videos, audio, and marketing copy. Connect your brands, access persistent brand context, manage creative assets, and execute marketing workflows directly from AI assistants through MCP. Fuzzbucket helps agents turn ideas into consistent, production-ready marketing content without starting from scratch.
Score how AI-native a team is on 10 lines and get a 90-day plan and an AI champion role card.
AI-native email marketing. Campaigns, automations, transactional, contacts, and analytics.
Agent-native video API: create live video sessions, mint restricted app keys and verify recorded camera and mic media.
Agent Commerce MCP — agent-native A2A storefront. Discovery, Stripe checkout, affiliate program.
MCP-native open-source Notion alternative: read & write pages, databases and kanban boards.
Your AI agent builds native Gutenberg blocks, pages and templates on your WordPress design system.
Read-only chain explorer for AI agents on Base, Ethereum and Solana: native and ERC-20 balances, transactions with fees, block data, contract-versus-wallet checks and price quotes. No API keys, no signing. Requires a Bearer token.
Drive and test your React Native and Expo apps end-to-end on iOS and Android. Supports real devices, simulators, and emulators. Snapshots, taps, typing, swipes, screenshots, deep links, reloads, builds and runtime errors.
Agent-native XRPL infrastructure: 19 paid MCP tools, x402 USDC on Base, non-custodial XRPL actions.
The agent-native cloud: database, functions, AI, storage, computers. 51 tools, one API key.
Review supplied AI claims and source excerpts for quote mismatches, broken references and evidence gaps. MCP-native free_trial_status/free_trial: five attempts per network for the campaign, shared daily capacity. Paid checks are separate. No live retrieval or factual-truth certification; human review required.
AI-native project and portfolio management platform for PMOs. OAuth + PAT.
AI-native customer research and AI usability testing. Search customer feedback and full conversation transcripts; get themes, ratings, recommendations and quotes; compare projects and trends; generate charts. Plan, review and launch AI usability tests on any public URL or design and get prioritized issues with paste-ready fix prompts for coding agents. OAuth 2.0 with dynamic client registration; sign in with a TheySaid account (free plan available).
MCP-native CRM: your assistant proposes updates, you approve them field by field.
Review supplied evidence of actor identity, principal authorization, tool scope and intended action before an agent acts. Returns missing evidence and review guidance; enforcement belongs to the caller integration. Two MCP-native free trial attempts per network for the campaign, shared daily capacity. No action authorization or identity certification.
Spec-driven development for AI coding agents: live requirements, stories and traceability over MCP
