"General Information Request" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Zyte MCP is a remote MCP server that lets an agent use Zyte on your behalf. It can download pages with a plain HTTP request or in a real browser, click and type and take screenshots, and pull structured data out of a page with AI, either as a standard type like product, article or job posting or as fields you describe in plain words. It can also search the web from a chosen country, check whether Zyte API supports a site and what a request costs, and report your usage by domain. If you have Scrapy Cloud projects, the same server can list spiders, start and cancel jobs, read logs and items, manage schedules and settings, and read and write collections. Those tools can change and delete things, so review what your agent asks to do. Connect to https://mcp.zyte.com/v1/mcp and sign in to your Zyte account with OAuth. Using the server is free. What your agent does through it is billed at Zyte API prices, on a dedicated mcp_access_key you can track and cap. New accounts get $5 of trial credit for a month.
# **RChilli MCP Hub** 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. <br> --- <br> # **Tools — 17 Total** userkey and subuserid are injected automatically from your Bearer token — you never need to pass them manually. <br> --- <br> # **🔍 Resume & Job Description Parsing — 3 tools** <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. When used on a careers page or application form, the same extraction call auto-fills every application field in under 10 seconds — documented to increase candidate conversion by up to 194%. Supports 40+ languages with English-normalized output for global intake, and runs in batch mode to process legacy databases or migration backlogs overnight at scale. Also supports resume reprocessing — re-running previously extracted resumes through the latest extraction logic and taxonomy version to bring older records up to current data quality, without requiring a new document from the candidate. Distinct from bulk import (first-time extraction of a new batch) and from talent data refresh (re-enrichment from a newer submitted resume). <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 the Resume Data Extraction tool. Ideal for pipeline automation where resumes are stored in cloud storage, S3, or email attachments. Also supports the same auto-fill, multilingual, and batch-processing capabilities as the core extraction tool for URL-based intake sources. <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 for recruitment automation and candidate matching. <br> --- <br> # **🧠 Skills & Job Taxonomy — 4 tools** <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, all aliases, related skills, proficiency levels, and O*NET/ESCO mappings. Use when you need the complete record rather than a ranked search. <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> > ### **`autocomplete_skill`** > > Accepts a partial skill string (min 2 chars) and returns up to 10 ranked autocomplete suggestions with canonical names and categories. Prevents free-text entry errors and keeps skill data clean at point of entry. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title string and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to taxonomy profiles from the moment a recruiter starts typing. <br> --- <br> # **🛡️ Redaction, Documents & Utilities — 7 tools** <br> > ### **`redact_resume`** > > Redacts personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. Configurable redaction scope. Idempotent. <br> > ### **`reformat_resume_with_template`** > > RChilli's Resume Reformatting tool accepts any structured candidate profile and applies one of six branded templates (TM001–TM006) to produce a consistently formatted output document in PDF, DOCX, RTF, or HTML — ensuring every candidate is presented in a standardized, professional layout regardless of how their original resume was structured. Designed for staffing firms, recruitment agencies, and enterprise HR teams who need to control candidate presentation at scale, it eliminates manual reformatting effort and enforces brand consistency across all submissions. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Preserves formatting fidelity. Useful as a pre-processing step before data extraction on non-standard file types. <br> > ### **`tag_entities`** > > RChilli's Named Entity Recognition tool takes already-extracted HR text and annotates it by wrapping each recognized entity in a structured XML-style label inline — returning output such as `<job_title>Senior Data Engineer</job_title>`, `<skill>Python</skill>`, `<city>Austin</city>`, `<degree>Bachelor of Science</degree>`, and `<organization>Google</organization>` — covering 10+ HR-specific entity types including person name, state, country, date, and year. Unlike data extraction tools that produce separate field lists, tag_entities preserves the full original text structure with entities labeled in place, making the output immediately consumable by ATS field-mapping pipelines, candidate profile builders, and content annotation workflows without any offset calculation or post-processing. <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. Safe for GDPR/CCPA workflows. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Enables radius-based candidate and job search and supports workforce planning analytics. <br> > ### **`classify_job_zone`** > > RChilli's Job Zone Classification tool reads the job profile from a resume or job description and returns its O/*NET Job Zone — one of five standardized levels ranging from Zone 1 (little or no preparation required) through Zone 2 (some preparation), Zone 3 (medium preparation), Zone 4 (considerable preparation), to Zone 5 (extensive preparation required) — based on the education, experience, and training criteria defined by O/*NET. The returned Job Zone level enables downstream workflows such as candidate-to-role fit filtering, compensation benchmarking, over/under-qualification flagging, and job architecture standardization without any manual O/*NET lookup. <br> --- <br> # **🎯 Search & Matching — 3 tools** <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one Job Description (no index required) and returns an overall match score, dimension scores, skill gap list, and natural-language explanation. Bias-controlled and audit-ready. <br> > ### **`find_matches_in_index`** > > Accepts a resume or Job Description as input and returns the top-N most similar documents from the indexed corpus ranked by semantic similarity. No index setup required for the input document. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant's pre-populated index. Supports Boolean and semantic search modes. Requires documents to be indexed before use.
Search products, manage a customer cart, and request current checkout quotes.
Connect AI agents to BoomTax for IRS information return filing. Query filings (1099, W-2, 1095, etc.), check e-file status and errors, look up payers, and get filing summaries across tax years. **Tools:** - Search and filter filings by tax year, form type, and status - Get filing details with payer info and e-file status - View e-file errors with IRS error codes and messages - Look up payers/issuers with filing counts - List all supported filing types and e-file availability
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.
See whether the work is moving the goal. Veloci turns a business goal into weekly commitments, and your AI assistant brings the evidence back from the tools you already use, like your CRM, support desk and docs. Every week you see progress against the commitments, with the records behind each update, and nobody writes a status update. From your agent you can set and review goals, plan the week, reconcile meeting notes against open commitments, and track work as tasks bound to goals. Early access for founder-led teams; sign in with an existing Veloci account. Request access at useveloci.com.
Great decks need company and personal information you shouldn't share with AI. OpenGamma lets your AI (Claude, ChatGPT or any MCP app) design on-brand PowerPoint from that context without ever seeing it: the AI works on placeholders, and your browser puts the real data back.
RunAgents connects your AI assistant to your marketing data. You can ask "why did our traffic drop?" or "what are competitors changing?" and get answers based on your workspace's real signals, not the model's general knowledge. What we cover SEO and AI-search (GEO) visibility: how you show up in Google and in AI answers Competitor activity: pricing, messaging, pages and ad changes, plus side-by-side comparisons Paid ads, page quality, email deliverability and brand mentions Site traffic and m
- Gigi AIOAuthai.usegigi
LinkedIn outreach from Claude with a human veto. Gigi researches each prospect and drafts the connection request and follow-ups; from Claude you review, edit and approve drafts, triage replies, create and manage campaigns, and read outreach reports. Nothing is sent without an approval, every write tool asks first, and the connector cannot bypass LinkedIn caps or sending windows. Sign-in: OAuth with your Gigi account. Setup: https://usegigi.ai/connect-claude?ref=glama
Agents that test your web and mobile app like real users, on every pull request.
Create, edit, and delete email aliases and manage encrypted file shares directly from your chat. Protect your online privacy with anon.li - Privacy by default. Not by request.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Quote, request and run page-cited medical chronologies for law firms and nurse consultants.
Calculates IPv4 subnet information from an IP address and CIDR prefix or dotted decimal subnet mask
OpenSpender gives your agent an allowance, not your API keys: one self-custodial USDC wallet that pays per request for web search, frontier models (Claude, GPT, Gemini, Grok), image and video generation, and a growing catalog of x402/MPP machine-payable APIs — every call priced before it's paid and capped by budgets you set.
Keep your household on the same page with ComingUp Today. Built for families and caregivers managing busy schedules, ComingUp brings calendars, lists, notes, contacts, and recipes together. Connect your AI assistant to see what’s coming up, add groceries, find household information, save recipes, and create or update ComingUp events—all through conversation. Connect securely with OAuth and choose the permissions you grant. Connected external calendars remain read-only.
- Session Replay MCPOAuth unavailablecom.session-replay
MCP for retrieving information about recorded session replays.
Hosted GEO/AEO analysis for public webpages. Compares a target page with up to six competitors, identifies citation gaps and information-gain opportunities, prioritises improvements, and generates shareable reports.
Heldly reads your Google Calendar directly, places tentative holds on every host's calendar, and emails the invitee a one-click picker. The moment the invitee picks, Heldly confirms the chosen slot and deletes the siblings across every host's calendar in the same request. No reusable booking page, no in-app form, no calendar cleanup.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
