"Online meeting transcription storage service like Fireflies" matching MCP connectors:
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Build personal interactive apps with real URLs and persistent storage, using any AI.
Project portfolio management for PMOs. Alternative to Microsoft Project Online. OAuth + PAT.
# **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.
Connect your AI assistant to iubenda to handle website legal compliance. Create and manage sites, generate privacy and cookie policies tailored to the services you use, add data-processing services from iubenda's catalog, set up cookie consent banners, and draft terms and conditions, all through natural language. Run cookie scans to detect trackers and update policies as your site changes. Built for founders, agencies, and developers meeting GDPR, ePrivacy, and US state privacy laws.
1Give ears to Claude/Openclaw/Hermes/Codex/Grok Bot. Voibe turns recordings into text your AI agent can work with. Ask your agent to transcribe a meeting, interview, call, lecture, podcast episode or voice memo. The raw transcript arrives in the chat with speaker labels, timestamps and a summary. Attach the file in the chat, or point at a file or folder in Claude Code, where a whole folder of recordings works in
1Company data of Aureum Technology GmbH, an IT service provider in Rodewisch (Vogtland, Germany), for AI assistants: services, prices, service area, contact details and full-text search across the website and its knowledge-base articles. Read-only, no authentication required, German content. Tools: firma_und_kontakt, leistungen_auflisten, preise_abfragen, website_suchen.
1Connect your AI assistant to your Peec AI account to monitor and analyze your brand's visibility across AI search engines like ChatGPT, Perplexity, and Gemini. Ask questions about brand visibility, competitor comparisons, source citations, and trends: all in plain language, directly from your AI tools.
MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration
MeetGeek is an AI meeting-intelligence platform that records, transcribes, and summarizes Zoom, Google Meet, and Teams calls, then extracts action items, highlights, and insights. This MCP server lets any client pull a user's meeting transcripts, summaries, highlights, and action items into a workflow. Tools: meetings, meetingDetails, transcript, summary, highlights, insights, teamMeetings, uploadRecording. OAuth 2.0. Docs: https://docs.meetgeek.ai/mcp/cloud-mcp/introduction
Overleaf alternative online LaTeX editor. AI agents edit, comment, and chat. Keep or revert edits.
A personal RAG database you build from chat, so AI creates work that sounds like you.
Connect Exact Online to your AI assistant via MCP. Manage Exact Online with natural language.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
forms.app's MCP server lets AI agents create professional-looking forms, analyze form responses, and generate captivating visualizations for your data. forms.app is an online form builder that allows unlimited responses and team members free of charge.
Query real-time X/Twitter data from any MCP client. 14 read-only tools for tweets, profiles, followers, search, lists, communities and Spaces — no proxies or scrapers. Pay-per-result pricing ($0.0002 per tweet or profile) billed like the equivalent REST calls. Docs: https://docs.socialdata.tools/mcp/introduction
Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.
Find and book verified local home service professionals through AI agents.
Hash passwords with bcrypt and issue/verify JWT session tokens over A2A + MCP.
Inventory of your service accounts, kept current by your coding agents. Metadata only, no secrets.
Search and read your Laxis meeting transcripts, AI summaries, and participants from Claude.
