"Information about ImGui (Immediate Mode GUI library)" matching MCP connectors:
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React components and blocks with motion. Search docs, props and shadcn install commands.
AI agent tools: crypto token safety, web search with cited answers, live library docs. Free trial.
Connect 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.
Tribeunal turns a question into a jury's verdict. An agent opens a case, a jury of humans and AI agents is seated, evidence is weighed and votes are cast, and the tally becomes a ruling the agent can long-poll for and act on. 39 tools, all annotated, plus eight Agent Skills that carry the procedure: how big a jury a decision needs, when a verdict actually lands, how to act on it. Arbitration mode bars the case owner from voting or closing early and enforces a quorum, closing with a verdict.
# **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.
Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.
Personal context for every AI: search, read, and write back to your private Markdown library.
Search your video library with natural language and retrieve relevant moments through MCP.
DocForge turns documents into structured data. Upload a PDF, image, or Office file and get fielded JSON back with per-field confidence scores. 95 templates (invoices, receipts, bank statements, ID docs), custom JSON Schema mode, auto-detect, natural-language instructions. Keyless demo tool included. Free 7-day trial.
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.
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
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
Search 2,000+ real iOS app interactions in plain language, read the motion anatomy behind each one (trigger, timing, easing, spring) and get starter SwiftUI tuned to the real timing.
Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Architecture) logic is the new standard. Nanocolloidal, liposomal and nanomicellar domains coexist in one chassis, held stable by electrostatic (DLVO) design, so the formula is the delivery system. NanoBase™ is the Architecture TDA logic is built on, and this server teaches your AI assistant to formulate with it. Build modern nanocosmetics, cold: - No heating, no hot oil and water phases, no high-shear homogenizer. Actives go in at room temperature with gentle mixing, which also spares heat-sensitive actives. - No specialized nano equipment. A scale, beakers, an overhead mixer and a pH meter are enough. - No emulsifier blends to source, weigh or balance. The Architecture replaces them. - Every finished formula is a true nanoformulation: on average about 250 nm, a quarter of a micron, measured by DLS. What your AI can do: - Learn TDA logic: how ingredients route into the three domains, and why. - Search more than 2,000 cosmetic ingredients by INCI name, with published third-party delivery data for actives at the nanoscale, with citations. - Check a finished formula against the NanoBase™ loading envelope: verdict, remedies, maximum loads and the pH window (5.7 to 6.2). - Check preservation against regulatory caps. - Build the on-pack INCI label or an internal composition sheet. - Add ingredients the library lacks: upload the supplier document and it is added for you and every user after you. Privacy: formulas are discarded after each answer and conversations are never received. Supplier documents for unlisted ingredients are kept, without the formula or your identity in clear, to grow the library. For brands, independent formulators, labs and contract manufacturers. Outputs are design guidance for leave-on cosmetics and should be reviewed by a qualified chemist or formulator. Free plan at nanobaselabs.com/api.
- Brie — Recipe MCP, Meal Plans & GroceriesOAuth unavailableapp.withbrie
Brie connects your assistant to saved recipes, household meal plans and shared grocery lists. Search your recipe library, import recipe links or text, and save a higher-protein or vegetarian adaptation as a named recipe version while preserving the original source. Prepare dinners around your household's preferences, review the proposal, then save the plan and rebuild its groceries. Start with a Brie account on the web and activate your personal Plus or Pro plan, or an eligible trial. Existing subscribers use their current account. Plus starts at $4.99 USD/month, with a seven-day trial for eligible new subscribers; current pricing and renewal terms appear before payment. Household membership alone does not include personal assistant access. Household operations require OAuth and your permission for the selected household. Public discovery exposes tool descriptions only. Eight recipe and grocery tools are available by default; add X-Brie-Capabilities: planning-preview for the thirteen-tool catalog including reviewed meal planning. No private nutrition logs, grocery purchases or billing access. Website: https://withbrie.app Setup: https://withbrie.app/agents Create your account: https://app.withbrie.app/signup?intent=assistant OpenClaw installation: https://clawhub.ai/brie/plugins/brie-openclaw
Beamline UI installs React UI code into your own repository: 200+ components and 50+ complete screens by Danylo Pravda. Editable source lands in src/ui/beamline; compiled archives live in your app's .beamline/packages/. Commit those files with your app. Nothing at runtime calls Beamline servers. The hosted MCP server is an optional discovery and installation tool for your coding agent; the shadcn CLI installs the same parts. Nine looks, dark and light. The Complete System is $49 launch price, plus VAT or sales tax where it applies: one payment for one person's Beamline account, MCP, library, installs and updates, with lifetime updates for as long as we publish the purchased system. Teammates, contractors and clients may use, edit, build and ship the installed code as part of that app. They need their own licence for Beamline access or to take its parts into other apps. The free sample remains MIT, including commercial use. https://beamline.io
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.
Google Shopping results for any product search and country: price, original price and discount, store, delivery, returns, rating and review count, about 50 products per search. Runs on Apify, $1 per 1,000 products.
Give AI agents context from your screen recordings. Clipy MCP searches your recording library and imported video context, retrieving summaries, timestamped transcripts, key moments, and available visual evidence. Use it to turn bug reports, UI walkthroughs, and client feedback into context your agent can investigate and act on. Connect through a hosted endpoint with OAuth sign-in.
App Store reviews for any app and country, past Apple's 500-review limit: rating, text, date, version and developer replies, with an only-new mode for monitoring. Runs on Apify, $0.08 per 1,000 reviews.
