"Email" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Crevio's MCP server lets an agent run a real online business, not just read from one. It exposes a delegation surface (ask_crevio, start_task, wait_for_run, send_message, resolve_approvals) plus code_search and code_execute for calling the full Crevio REST API - products, customers, orders, email, socials, and sites.
Connect AI agents to Prosyo to query pipeline metrics, search B2B prospects, and manage multichannel LinkedIn and cold email outreach.
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.
Connect AI assistants to Chasync CRM for leads, funnels, forms, email templates and analytics.
# **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.
Gnosari is a free AI chatbot for your website that collects data. Visitors chat, and every conversation becomes a typed, structured record: name, email, budget, timeline, whatever you asked for. The Gnosari MCP server lets Claude, ChatGPT, Cursor or any MCP client create and run your Gnosari chatbots through natural conversation. Create Gnosaris, define what data to collect, share conversation links, and review the structured data your conversations capture, without leaving your AI chat. Everyt
AI employees that run your CRM, invoicing, email, documents, dashboards and agents
Connect your FranklyMail mailbox to AI assistants to read and search email, list folders, and prepare new messages, replies, or forwards for mandatory human review and approval.
AgentiSend is a transactional email API: send through verified domains with a message log, budgets, a preflight and refusals that name the fix; built so AI agents can send on your behalf. The hosted MCP server at https://api.agentisend.com/mcp exposes 82 tools (44 on tools/list; the rest via list_more_tools). A send is one message or a batch of up to 500 items with per-item results. preflight_email runs every gate a real send runs, sends nothing, and costs nothing. Every 4xx returns code, message, and fix. There is no tool for unsolicited mail. Auth is a bearer API key or OAuth 2.1 with dynamic client registration. Starter prompts: "Send this receipt to the customer." "Preflight this send and tell me what would stop it." "What can I spend today?"
- UmbPanel — UmbHost GreenStack managementOAuth unavailablenet.umbhost
Manage your UmbHost GreenStack hosting: deploys, Cloudflare, databases, SFTP, email and domains.
Send and receive across email, SMS, WhatsApp, and voice. One API, one contract.
Phone, SMS and email for AI agents. One remote MCP endpoint, OAuth login, zero install.
- MailowsOAuthcom.mailows
Give AI agents their own email inboxes: list, read and send mail via scoped, revocable OAuth grants.
- EusendOAuthdev.eusend
Send transactional email and manage domains, audiences, and broadcasts from any MCP client.
- TellnodOAuthcom.tellnod
Email marketing in Claude or ChatGPT: draft, preview and send campaigns. You approve every send.
Read, send, file and search email in any Gmail, Microsoft 365 or IMAP mailbox, plus its calendar.
Chargezen SmartyTap is email and SMS marketing in one place. This endpoint serves SmartyTap's email flow tools: read the triggers, senders and personalization available, write and preview the email, create the flow as a draft, then turn it on or off, under the teammate's own permissions and OAuth scopes. Part of Chargezen, the unified revenue operations platform: every product runs on the same business and customer data.
- Chargezen ConciergeOAuth unavailablecom.chargezen
Chargezen Concierge gives your business autonomous AI digital employees. They answer customers by web chat, phone, SMS, WhatsApp, email, Slack and Telegram, and do internal work with approvals and an audit trail. This endpoint serves Concierge's tools: Ask Concierge, agents, knowledge, orders and fulfillment, reports, media and rewards, under the teammate's own permissions and OAuth scopes. Part of Chargezen, the unified revenue operations platform: every product runs on the same business and customer data.
Find, export, create and update your Stripo emails and templates from Claude, Cursor or VS Code.
Ecommerce email MCP for Shopify/Woo — campaigns, automations, popups, analytics. OAuth.
