"Servers that support Server-Sent Events (SSE)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Free, open source library of AI video prompts that really worked, each next to the video it produced and credited to its creator. Describe a video in plain words, in any language: your AI finds the prompts that fit by meaning, shows you the videos and can adapt the best one to your idea. Read only, with no account and no key.
Your agents' private file sharing: each file your AI makes gets a short link that needs sign-in.
AI news for agents: daily, weekly and monthly briefings, trending events and model prices. No key.
Google Flow's agent: chat that plans and makes images and videos, approvals, your own media
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.
Remote MCP that generates original launch assets over Streamable HTTP. Usage is metered in credits.
AI photo animator that brings still photos and pictures to life. Animate portraits, old photos and pets into short videos with sound using one-click viral effects (AI dance, memes, sports) or your own prompt. Also text to video, AI video editing, old photo restoration and colorization, and AI image generation. Sign in with an AI Photo Animator account (OAuth); generations use credits, new accounts get free starter credits.
EasyGerber brings AI printed circuit board (PCB) design, layout, and routing to MCP-compatible assistants. Describe a circuit or start from firmware pin assignments, search published electronic components, and build schematics using catalog parts with their footprints and available 3D models. Create and revise boards, generate layouts with automatic component placement and routing, inspect previews, and check saved layouts for blocking design issues. Export manufacturing ZIPs containing Gerber and drill files, a bill of materials, and component placement data, or download an editable EasyGerber (.egb) file. Start without signing up. Your agent creates a private guest session for one board, including catalog access, edits, layout, checks, previews, and exports. Sign in through OAuth to work with saved account boards, access permitted organization boards, or save the guest design to your account. Guest support depends on your MCP client and installed integration.
Extract structured data from invoices, receipts, PDFs, scans, photos and emails. Create an inbox for a document type, define the fields and tables to extract (or propose a schema from a sample document), upload a document and get typed JSON back, review past documents, and add an optional Python post-processing step that is tested on a real document before it is enabled. 17 tools. Sign in with OAuth by pasting your Airparser API key (Account page of the Airparser app); the client only sees that account's inboxes and documents.
Paste a draft and see the habits that make writing read like it came from an AI model.
Ask how ten AI engines (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, AI Mode, Copilot, Grok, DeepSeek, Meta AI) describe a brand, which sources they cite and how that changed, then build white-label client reports from the same data. 74 tools; every write is shown as a preview first and needs a second, confirmed call.
Set up, test and publish an AI customer support Agent for your SaaS product.
# **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.
Autonomous AI customer support engine with 81 FastMCP tools, website crawling, WooCommerce sync, calendar booking, and live human takeover.
ChartGaze is a service that connects AI assistants to live and historical market data and, with your authorization, to trading-account information and trading actions. It works with MCP-compatible AI tools and supports platforms such as MT5, MT4, cTrader, and crypto exchanges.
CrowdOS lets AI agents run synthetic focus groups over MCP against census-calibrated panels that disagree. MCP on every plan including Free.
An MCP connector that lets your AI agents ask you questions, request permission approvals, and send alerts as push notifications to your phone and mac notch, so you can unblock and approve your agents from anywhere.
ScriptGrain makes ChatGPT, Claude and the rest better at being you. Connect it and your assistant can build a voice profile from writing you’ve already done, draft in that voice, and score any text against it from 0 to 1. The profile covers 45 attributes in eight groups: lexical, syntax, tone and register, rhetoric, punctuation and format, function words, content patterns, and quirks and cadence. On-voice drafts typically score 0.85 to 0.95. Clearly off-voice text scores below 0.45.
Create songs from prompts or lyrics, check credits, and access your private song library through an OAuth-connected MCP server. Uses your existing Words into Music account, song credits and limits. Songs support English, Spanish, German, French and Brazilian Portuguese. Documentation: https://wordsintomusic.com/mcp/
Orbit is an MCP server that gives your AI agents a 4000+ tools, a shared memory brain and a live dashboard OS. Every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus. Finally Agents work, agents that grow your business and bring you customers. https://orbitagents.xyz
Aya, Talpy's AI recruiter, in your assistant. Read jobs, candidates and evidence-backed interview scores; with write access, create jobs and send candidates to Aya's interview by WhatsApp or web link, in English, Spanish, German, French and Portuguese. See your plan and upgrade link. Hiring decisions stay human.
Retiplex is #1 tool for agents that handles the whole video ad production process. Tailored to custom offer. From ad strategy to ready-to-post video with just a few tool calls.
Kuro is an AI creative workspace for images, video clips, voice-overs, music and editable storyboard films, with reusable recipes and a hosted OAuth MCP server. Connect with OAuth authentication. Documentation: https://meetkuro.com/agents/ Public connector: https://github.com/meetkuro/kuro-mcp Support: hello@meetkuro.com.
AI support employee for any website: learns the site, answers visitors by chat and voice.
Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.
Search thousands of B2B conferences, see every speaker and sponsor, look up where a company speaks or sponsors, and rank events by fit with the people you sell to.
Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.
A governed, nonclinical reasoning system that helps people and AI agents make sense of difficult moments and choose a grounded next step. Use Clarity OS for overthinking, emotional activation, uncertainty, decision friction, conflicting priorities, repeating patterns, or difficult conversations. It returns structured, safety-governed clarity while preserving uncertainty, personal agency, and appropriate nonclinical boundaries.
Scans text for personally identifiable information — emails, phone numbers, SSNs, credit card numbers, physical addresses, names — and returns a redacted version. Built for agents sanitizing user content, support tickets, logs, or documents before storage, sharing, or feeding into another LLM call. Pay-per-call via x402 (USDC on Base): $0.01/call, no account or API key. tools/list and /openapi.json are free for discovery.
