"Firebase Firestore Database Information" matching MCP connectors:
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Ask your PostgreSQL, MySQL or Odoo data in plain words from Claude, ChatGPT or any MCP app. Read-only: STYD runs safe queries and answers with the real number, the period and the definition it used. No SQL needed. OAuth sign-in, sample data to try right away, and every answer names its workspace so data from different companies is never mixed.
Odoo MCP connector for ChatGPT and Claude: ask sales, invoices and stock in plain words. Read-only.
kad.dev puts the apps you make with Claude on the web. You say what you want. Claude builds it and puts it online at its own address. You do not need to know how servers work. Your app gets its own web address. It stays private until you choose to share it. You can also use a domain name you own, like www.yourname.com. It can have a database that remembers what people enter, such as sign-ups, orders and notes, and storage for the photos and files your visitors upload. A Google sign-in lock lets in anyone with a Google account, or only the people you name. For a simple site, a change shows in a private preview within seconds, before it goes live. Every change you publish is saved as its own version, with its own private address. If something goes wrong, go back to an earlier one. If something breaks, Claude can read the error message, so it can be fixed in the same conversation. Access: you sign in with your kad.dev account and choose what Claude may do. Claude can always look at your apps. Changing or publishing them is a separate permission. Claude only sees your own projects. You can remove access at any time from your kad.dev account. Hosted in Europe. Requirements: a kad.dev account.
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.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Research U.S. markets and prospects conversationally using PropertyRadar's property and people data. Resolve an address, inspect Property details, transactions, comparable sales, ownership and contact information, discover supported Criteria and fields, search for matching Properties, and save selected results as a dynamic Audience. PropertyRadar accesses only the data available to your connected account.
Teable is an AI spreadsheet for business that combines a familiar spreadsheet interface with a structured database. Its remote MCP server lets AI agents inspect project and table structure, read and update records, and access the Teable API through OAuth with existing project permissions. Website: [teable.ai](https://teable.ai)
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
LastDatabase is an OAuth-enabled MCP server providing AI assistants with access to B2B and B2C lead data. Discover business contacts, search companies and professionals, access available contact information, and verify email addresses through supported tools. Integrates with ChatGPT, Claude, and other MCP-compatible AI clients. Customer authentication, data access, and usage limits are managed through individual LastDatabase accounts.
Listings API connects AI assistants to business listings, reviews, social posting and local analytics across 50+ sites. Manage business information, monitor listing sync, respond to reviews, publish posts and track performance through one MCP connection with OAuth or API-key authentication. Get started with the free 24-hour Day Pass: test listing creation, updates and sync with up to two demo locations across ten demo directories, with no credit card required. The Day Pass uses demo directories only; reviews, social posting and analytics require an eligible plan. Get your Day Pass : https://listingsapi.com/signup?campaign=daypass&plan=day-pass Day Pass guide for agents : https://listingsapi.com/docs/day-pass Visit Listings API: https://www.listingsapi.com/
# **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.
Build real websites and web apps with AI, right from your chat. Describe your idea and WebTwizz builds it: landing pages, online stores, booking sites, portfolios and full web apps with sign-ins and a database. Change anything by asking, publish to a free webtwizz.app address or your own domain, undo changes, edit your site's database records, and sync the code with GitHub. Sign in with a free WebTwizz account (OAuth).
Official DIDWW MCP connector for managing phone numbers, inbound voice and SMS routing, and voice capacity. Review billing information, prepare data exports, and manage supported compliance workflows. Uses OAuth and existing DIDWW account permissions, with explicit confirmation for significant account changes.
Cobrain is a hosted Markdown brain your AIs share. Connect Claude, ChatGPT, Claude Code, Codex or any MCP client once (remote MCP with OAuth, no API keys to paste) and they all read and write the same notes. Share one folder with a teammate, read-only or read-write, and their AI reads it too. Permissions are enforced in the database, the same for the web app and for AIs; writes are version-checked so two AIs can't silently overwrite each other. Plain .md, exportable, EU-hosted. Free plan available.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Your agent needs creators who actually fit — starting from one profile you already like, or from a brief — and then a way to reach them. **What you can ask for** • "Find creators similar to this profile, in this country." • "Who else makes content like this account, with a comparable audience?" • "Look up the contact email for this creator." • "Build a shortlist for this brief and give me the emails." **How to use it** Point any MCP client at https://mcp.aisa.one/creator-discovery/mcp and sign in with OAuth — there is no key to create or paste. 2 tools: similar-creator lookup from a seed profile or a brief, and an email lookup for a creator. **Why this rather than the source** Similarity from a profile you already trust, rather than a filter over a follower-count database. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Shortlist the creators here, then ask the same agent for their posting history on Instagram or X — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/social/mcp for what those creators actually post; https://mcp.aisa.one/sales/mcp for the rest of the outreach.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Hosted long-term memory for AI agents via MCP. Recalld updates facts as information changes and retrieves relevant context. Connect with a Recalld EU account.
Remote MCP server for Mythex, the AI app builder. Lets Claude, Cursor or Codex create projects in a cloud sandbox, edit files, run commands, preview, attach a database, and publish to a public URL. OAuth sign-in; tool calls need a Mythex Pro account.
A personal RAG database you build from chat, so AI creates work that sounds like you.
Provide real-time and forecast weather information for locations in the United States using natura…
Look up DNS information for any domain to troubleshoot issues and gather insights. Get fast, relia…
Remote MCP server for UETR tracking and SWIFT payment tracking. Read bank-reported transfer status and manage monitoring from your AI app, within your uetr.ai plan and team rights. Connect at https://uetr.ai/mcp with OAuth or an API key. A free uetr.ai account is enough to connect. uetr.ai is an independent information service and does not move or hold funds.
Request information without the back-and-forth
French B2B database for companies and contacts, from official French registers (INSEE, Infogreffe, BODACC) and public web sources. Search, count, fetch entities and export a small CSV from Claude or any MCP client. OAuth with a Basile account; API-access plan required. France only.
MCP server for Danish company data, employment-law identity and financial figures. Retrieve legal company information and key financial metrics directly through your AI assistant.
Read-only access to business data from Exact Online, Twinfield, AFAS, Nmbrs, Moneybird, HubSpot and 30+ other sources for ChatGPT, Claude and other MCP clients. DigiData syncs each source into a dedicated PostgreSQL database per customer; the MCP server exposes bounded tools (list_sources, list_tables, describe_table, query_table, aggregate_table, get_sync_status) over admin-approved tables and columns only. OAuth 2.1, no write tools, no arbitrary SQL.
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
Hosted long-term memory for AI agents via MCP. Recalld updates facts as information changes and retrieves relevant context. Connect with a Recalld US account.
Read and edit DB Planner database schemas (DBML/SQL), Mermaid diagrams and board layouts from any MCP client. 40 tools with annotations and output schemas. OAuth sign-in, with read and write as separate scopes enforced server-side.
