"C# Azure .NET development assistance" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Convert, create and edit Word, PowerPoint, Excel and PDF documents from any AI agent.
Bring your Equitest business valuations, financial statements, industry benchmarks and M&A comparables into your AI assistant.
Carbs for Indian meals, for people managing diabetes. Your assistant names the dishes and portions; Glucoray looks each one up in published Indian food tables and returns carbs, fibre and net carbs with a green/amber/red rating against your daily target. Meals are saved only after you confirm. OAuth 2.1 sign-in with an email code.
Exception tracking for .NET. Let your AI coding agent search and triage errors and stack traces.
Generate synthetic random user data for testing, demos, and development without using real persona.
Deploy static sites on Hostsmith - give it a file, get a live HTTPS URL. EU/US residency.
Form a US LLC or C-Corp in any state from a conversation: name, members, ownership, and filing.
Search university course materials, your flashcards, quizzes, streak and quota. All tools read-only.
Find AI-transcribed sheet music, MIDI and stems for songs. /mcp/public needs no sign-in.
Pick up where you left off: your project's progress, decisions and notes, kept in your own storage.
Your job is to win new business, not to spend hours researching medical device companies. Whimbrel saves you hours of research inside the AI app you already use. Whimbrel is for sales and business development teams at firms that sell to medical device companies: contract manufacturing, sterilization, testing, design, regulatory and software services. Every fact links to its public source. Your first month is free. https://whimbrelresearch.com/
Ask Claude or ChatGPT about your own finances. ValYou gives read-only answers on your net worth across every account and currency, what moved since last month, where you rank for your age, retirement projections, what-if scenarios, shared expenses with friends and your monthly budget. Nothing is changed and no account numbers are ever shared.
# **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.
Costory is the FinOps agent your team builds on. Claude plus a single provider's MCP works for one person and one cloud. It breaks when you add more providers, more people, and more tools to maintain. - Multiple providers: AWS, GCP, Azure, LLM APIs and data clouds normalized and allocated to teams and features in one model, including allocation from telemetry (Kubernetes, Datadog, dbt). - Multiple users: one hosted setup with OAuth, per-user access and enterprise SSO, instead of local credentials and prompts per person. - Maintained for you: tools, skills and connectors kept up to date by Costory, so reorgs and new services don't break your agent. Your agent finds savings, explains every change in spend and issues recommendations that your coding agent can implement. It works in Claude, Cursor and any MCP client, plus Slack. Customers include Alan, Deezer, Delivery Hero, Voodoo and Pennylane. Pricing: Starter from $300/month, flat: unlimited users and data sources, and a fair use that 80% of customers never outgrow. Nothing is ever cut off, and agents connected through the MCP use no AI credits. 30-day free trial.
Affiliate programs, deals, tracked links and product search, plus merchant program setup tools.
Connect AI assistants to GBPly for Google Business Profile management: read profiles, reviews and insights, draft replies, and request changes. OAuth sign-in and a GBPly account are required.
Uniswap/PancakeSwap/Aerodrome LP pools and price ranges ranked by net APR after impermanent loss
MYOPL pickleball ratings, sessions, RSVP preparation and own statistics via OAuth sign-in and consent.
Traceable is a document-style workspace that keeps your design records connected and visible. It replaces spreadsheets, wikis and disconnected tools with one place to author, trace, control, review and publish the documentation your standards demand, with live traceability, gated e-signatures and audit-ready output. Manage your source of truth for any product development, especially regulated products such as medical device, SaMD, IVD and Defence.
Lean operations knowledge base built on DBS: cited answers, tool cards, plans and diagnoses.
Spec-driven development for AI coding agents: live requirements, stories and traceability over MCP
Household finance planner: cash flow, net worth, bills, debts, goals, retirement.
Inboxapp lets you message contacts and manage conversations across X and LinkedIn. Connect your X and LinkedIn accounts to handle your social conversations from one place, making it easier to stay in touch with the people who matter to you. Use Inboxapp to: - Message contacts on X and LinkedIn. - Triage your inbox: see who is waiting on a reply and which conversations need attention first. - Stay on top of follow-ups and spot conversations that have gone cold. - Search past conversations and c
0bull Phone Farm is a remote HTTP MCP server for managing real physical iPhones. It covers posting accounts on TikTok, Instagram, and YouTube; video submissions; phone commands; raw touch input; screenshots; OCR; macros; GUI-agent tasks; and phone rental and billing flows. OAuth authorizes the user in a browser, and each call is scoped to the user's own accounts and phone grants. Phone-touching work is asynchronous because it runs on a real handset. The server returns an acknowledgement, then t
eSIMfly Business API: search eSIM plans, check usage, diagnose eSIMs, optionally order (confirmed)
Read your accounts, budgets and net worth, and draft changes you confirm.
Extract PDFs into structured tables, query records, and configure document inbox workflows.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
Search and manage your Dexi notes: full-text and semantic search, tags, folders, spaced repetition.
Build, deploy, and run apps on AWS, GCP, Azure, Oracle Cloud, and your own hardware from chat.
