"Servers Offering MCP Prompts as Prompt Primitives" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Screwtape.ai decides whether an AI agent is allowed to spend money, and keeps the proof. Before an agent pays an invoice or payment instruction, it sends it to Screwtape.ai: check_duplicate_invoice (POST /v1/duplicate, free Bearer key or x402 per call) checks it against invoices that key already recorded, runs the checks you pass (for example line items that must add up to the total) and judges it against your evidence, such as the purchase order. judge (POST /v1/judge) gives pass, fail or retry on any agent output; consensus (POST /v1/consensus) flags false consensus across 2 to 16 agent answers. Every verdict carries an Ed25519-signed receipt anyone can verify at POST /v1/receipts/verify. judge and consensus can be paid per call with x402 ($0.005 USDC on Base or Solana, no account); a free key gives 10 calls per UTC day.
Buying-intent judgement for AI agents: a three-judge panel scores any text as buyer or not.
Free, open source library of AI video prompts that really worked, each next to the video it produced and credited to its creator. Describe a video in plain words, in any language: your AI finds the prompts that fit by meaning, shows you the videos and can adapt the best one to your idea. Read only, with no account and no key.
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.
Free Perplexity citation check for your domain and prompt. 5 calls per caller per day.
Persistent context and memory vault for AI. Save your brand, project facts, prompts, skills and sessions once, then use them in Claude, ChatGPT, Cursor and any MCP client.
Mureka AI music: songs, lyrics, stems, sheet music, your own voice as a singer, speech
Detect prompt injection, jailbreaks, and code injection in untrusted text before it reaches an LLM.
Score video as an agent: cue sheet from the cut, 50+ AI instruments play your MIDI, mixed to picture
Check whether AI answer engines cite your site, and for which prompts. Uses your own Perplexity key.
Every EmpirioLabs model and platform feature as tools: chat, media, search, jobs, GPU Cloud, agents.
AI photo animator that brings still photos and pictures to life. Animate portraits, old photos and pets into short videos with sound using one-click viral effects (AI dance, memes, sports) or your own prompt. Also text to video, AI video editing, old photo restoration and colorization, and AI image generation. Sign in with an AI Photo Animator account (OAuth); generations use credits, new accounts get free starter credits.
All 26 AgentX paid services as MCP tools — site checks, markets, crypto, email DNS, AI text work.
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
A narrative short film from a logline: drama, sci-fi, thriller, romance, mystery or fantasy, with characters, dialogue and a film look across several scenes, returned as an MP4. 250 credits per scene.
A short comedy skit from a premise: deadpan, absurd, parody, observational or slapstick, built to land one joke, with original characters, returned as an MP4. 250 credits per scene.
A scary story short for faceless channels: psychological, paranormal, creature, folklore, found-footage or thriller, built through restraint and narrated, returned as an MP4. 250 credits per scene.
Build, test and run customer-facing AI voice and chat agents (website chat, WhatsApp, Instagram, Messenger, SMS, phone) from Claude, ChatGPT or Cursor. Create agents from a website, edit prompts, manage knowledge basesBuild, test and run customer-facing AI voice and chat agents (website chat, WhatsApp, Instagram, Messenge connect channels, run live test conversations, review conversations, manage leads and call campaigns, and white-label. https://mcp.convocore.app/mcp
An animated short from a story idea: anime, flat cel, chibi, cartoon, storybook or 3D look held across every scene, with recurring characters, dialogue and narration, returned as an MP4. 250 credits per scene.
An explainer, lesson or self-introduction spoken to camera by an AI presenter with an AI voice. Not an ad: no pitch and no call to action. Script, keyframes, scene videos and final cut, returned as an MP4. 250 credits per scene.
Scans untrusted web pages, emails, MCP responses, or A2A payloads for hidden prompt injections an.
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.
HalalGen is an AI video studio. Turn a simple prompt into short videos, and make images, logos, YouTube thumbnails and 4K upscales in the same place. No coding and no design skills needed. Image and video prompts are checked against our content rules before generation.
Estimates the water and energy footprint of AI use – chat prompts, agent sessions from token counts, and everyday comparisons – from a published, versioned methodology with sources. Pure arithmetic, no API key; every result states its boundary and assumptions.
# **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.
A moodboard from a creative brief: five distinct visual directions, each rendered by two image models, for brand, interior, fashion or project direction. Returned as square images.
Turn a product into a UGC-style video ad: script, AI creator, scenes and final cut, returned as an MP4.
Real-time MCP & A2A prompt-injection, jailbreak, and tool-schema poisoning firewall for AI agents.
Screenshot API for AI agents. Any public page as image or PDF, banners hidden, 227 countries.
A personal birthday, anniversary or milestone tribute from the memories you describe, closing on a wish spoken to camera. The people are generated from your description, not from photos. Returned as an MP4. 250 credits per scene.
