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Global stock and UCITS ETF research. Free: 700 successful MCP tool calls per rolling 30 days. Pro: CHF 5/month or CHF 50/year for higher usage. Screen stocks, compare fund costs and holdings, and inspect company risks. No account or API key for public research. Plans: https://bull-run.org/pricing. Connect your Bullrun account through OAuth to use Pro.
Every match, not the top 10. Searches your documents and returns each relevant one, with quotes.
Simple agent memory MCP: keep, recall, update, forget; shared team graph on Maindex.
App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts
Causal check on AI agent claims, from ad-spend/ROAS lift to any decision: pass, caution or hold.
Buying-intent judgement for AI agents: a three-judge panel scores any text as buyer or not.
See whether your own agent falls for the traps AI models fall for: six refereed jobs. No account.
Check untrusted text (user messages, retrieved pages, tool outputs) for prompt injection before it reaches the LLM. Returns safe or not, plus the threat type. Free tier of 10,000 checks a month.
Find the right AI tool or MCP connector for a task; sourced directory of real AI-built apps.
Read-only, sourced and dated facts on AI tools: search, compare, pricing, free alternatives.
Is your brand named by ChatGPT, Claude, Perplexity, Gemini and Google AI? A yes or no per question.
Benchmark MCP tool selection with metadata-only routing, collision, abstention, and holdout checks.
Ask about your business's sales, Google rankings, AI visibility and email marketing, and have Kooga write, change and send for you, asking first before anything leaves Kooga.
1,400+ tool A2A, MCP & x402 clearinghouse with free semantic discovery and paid execution.
# **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.
Ask Drex decision models typed questions about a state and get calibrated probabilities; free within per-network limits.
AudD MCP is a way for agents to add music recognition to apps or to fulfill song identification requests. It connects you to AudD, the music recognition API
Path-scoped project memories, rules and skills for coding agents, on your machine or Pathrule Cloud.
Real-time MCP & A2A prompt-injection, jailbreak, and tool-schema poisoning firewall for AI agents.
Official Mifori Agent Trust Protocol. Performs real-time latency, JSON schema compliance, and synthetic IQ audits on target AI bots using x402 USDC micro-payments on Base network before high-value tool execution.
Run every WordPress site you look after from Claude or ChatGPT. Nothing goes live until you approve it, every change gets a receipt you can undo, and the whole fleet sits in one tamper-evident log.
DevSpeak is a writing tool for developers, available to your coding agent over MCP. Call `optimize_text` to improve a PR description, commit message, ticket or doc in the language it was written in, or set `correctionsOnly` to fix only spelling, grammar and punctuation. Call `translate_text` to turn rough notes into a technical spec, Jira tickets, an RFC, an API design or a data model for the audience you choose (Junior Dev, Senior Dev, Tech Lead, SRE or Data Engineer). It also translates README files with `translate_markdown`, refines earlier output and lists your history. Requires a DevSpeak API key; a free account includes one key with 50 API requests a month.
AI studio product photo generation, background replacement, and e-commerce catalog imagery tools.
Convert, lint and generate LLM tool schemas for OpenAI, Anthropic, Gemini and MCP
Create and read private AI-illustrated storybooks with your PictureBooks account and existing credits. For adult authors, parents, and educators. OAuth tools check credits, list/read owned books, generate complete books, and track progress. Generation uses credits for pages, cover, and consistency references. No card charges, credit purchases, or publishing. Use fictional characters. Docs: https://picturebooks.io/developers
Generate studio-grade AI commercial product photography, scene templates, and pricing plans.
Discover AI models and their input schemas, generate images, videos, music and speech, create or clone voices, and check generation status through APIXO. Public tool discovery is available without sign-in. Account-specific and generation operations require authentication; generation uses APIXO credits. Website: https://apixo.ai
ChartGaze is a service that connects AI assistants to live and historical market data and, with your authorization, to trading-account information and trading actions. It works with MCP-compatible AI tools and supports platforms such as MT5, MT4, cTrader, and crypto exchanges.
Ask how ten AI engines (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, AI Mode, Copilot, Grok, DeepSeek, Meta AI) describe a brand, which sources they cite and how that changed, then build white-label client reports from the same data. 74 tools; every write is shown as a preview first and needs a second, confirmed call.
Scans untrusted web pages, emails, or tool outputs for prompt injections and returns sanitized tex
