"Google Chat" matching MCP connectors:
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3GPP Scout connects Cursor, Claude, Codex and other MCP clients to a hosted, continuously updated 3GPP search service. Search TS/TR specifications across Rel-15 through Rel-20, retrieve cited clauses, and search text, diagrams and figures. Explore recent RAN1, RAN2, RAN3, RAN4 and SA2 TDocs, company proposals and extracted meeting decisions, with source links. Connect using Streamable HTTP at https://api.3gppscout.com/mcp/ and sign in with OAuth 2.1. No local index or API key in the MCP configuration is required. Explorer includes 150 API/MCP requests per month; Founding Engineer includes 1,000 for $8/month. Hosted Scout chat is billed separately. 3GPP Scout is an independent product and is not affiliated with, endorsed or sponsored by 3GPP, ETSI or any 3GPP Organizational Partner. 3GPP™ is a trade mark of ETSI registered for the benefit of its Members and of the 3GPP Organizational Partners. Excerpts are quoted for reference and the official documents govern. Copyright, correction or removal requests: contact@3gppscout.com.
Ask your Search Console data in plain language and get real numbers, not guesses. The GSC Wizard MCP plugs your live Google Search Console data straight into Claude, ChatGPT, and any MCP-capable assistant - so the model reads your actual clicks, impressions, position and CTR instead of inventing them.
Run Google Ads, Meta Ads, LinkedIn Ads and ChatGPT Ads from Claude or ChatGPT. You approve every change.
Google Ads MCP server for Claude, ChatGPT, Codex, Cursor and any MCP client: reports, search terms, negatives, budgets, bids, campaign creation and Performance Max, with approval on every write. Hosted by Markifact, OAuth login, nothing to install locally.
Twistly turns your ideas, notes, and documents into ready-to-edit PowerPoint presentations. Describe a topic, paste in text, or share a file (PDF, DOCX, PPTX, or TXT), and Twistly builds a structured deck of up to 50 slides with clear layouts and matching visuals in seconds. Pick from 50+ templates to keep a consistent, on-brand look. Everything comes out as a native, fully editable .pptx file, not a web export, so it opens cleanly in PowerPoint with no broken layouts. Edit it by hand like any normal presentation, or use the Twistly add-in for PowerPoint to keep refining and redesigning your slides. Nothing stays locked in a separate editor. Generation runs asynchronously: a tool call returns a job id, the assistant follows the job, and the finished deck arrives as a download link in the chat. Used by students, educators, business professionals, and teams around the world.
Google Ads MCP by AdPlug — a hosted server connecting Google Ads to Claude, ChatGPT, Cursor and other MCP-compatible AI assistants. Analyse live account and campaign performance, search terms, conversions and keyword data across your whole MCC. Generate reports, research keywords, run raw GAQL, and add negatives, adjust budgets or pause campaigns using natural language. Built for PPC specialists and agencies, with secure OAuth, read-only access by default and previews before changes. No coding o
Audit websites for AI search readiness and check whether a business shows up in AI answers (ChatGPT, Perplexity, Google AI Overviews). API key auth, free account at qleerly.ai.
Google Ads, Meta Ads, GA4, Search Console and Shopify insights, alerts, ROAS rules and ad actions.
AXL MCP lets AI assistants create and manage landing pages, courses, email campaigns, CRM records, and marketing workflows inside AXL. Built for growing expert businesses, it turns chat requests into real work across sales, marketing, and course delivery. An AXL account is required. Sign in securely with OAuth 2.1. Website: https://axl.tech/developers/mcp . Setup guide: https://docs.axl.tech/mcp . Watch AXL in 77 seconds: pages, courses, CRM, and automation. Product overview: https://www.youtube.com/watch?v=jlhR9CafIww
# **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.
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Connect any AI agent to the NachoNacho marketplace with the Model Context Protocol MCP Let your AI search thousands of B2B SaaS AI products, compare deals, and sign up — all from chat
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
Search hotel prices, get best overall and best direct price in structured response. Get your developer token at https://Infoseek.ai/mcp
Manage tasks, sprints and daily planning in chat. ProWoDo's connector lets Claude, ChatGPT and other AI agents create and update tasks, plan sprints, write daily standups and assign work via natural language. 50+ tools, OAuth 2.0 secured.
clariBI is an AI-powered business intelligence platform built for small and mid-sized SaaS, ecommerce, and operations teams. Instead of writing SQL or building dashboards manually, users ask questions in plain English ("what's our CAC by channel last quarter?") and the AI engine pulls the data from Stripe, HubSpot, Google Analytics, ad platforms, Jira, and 30+ other sources via the open Model Context Protocol. Dashboards generate themselves on source connect.
Scrape and extract application reviews from both the Google Play Store and the Apple App Store.
Hubris is an OpenAI-compatible LLM gateway for the Russian market, billed in rubles. This MCP server gives agents access to the model catalog (400+ models with ruble pricing), account balance, and chat completions with full parity to POST /v1/chat/completions. Tools: models_list, models_search (filter by capability/price/context length), models_get_pricing, balance_get, chat_complete. Resources: hubris://catalog/models, hubris://docs/quickstart. Prompt: compare-models. Docs: https://hubris.pw/
Manage Google, Meta, TikTok, Microsoft, Pinterest, Amazon, LinkedIn & Reddit ads from your AI
