"Understanding Local File System Operations" matching MCP connectors:
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Free US local event search. No signup or API key; 90-day lookahead. Paid commercial and bulk access.
Search jobs, homes, vehicles and local services worldwide without sign-in; post and manage listings and messages for a signed-in user.
Find local businesses across Cape Town, the Winelands and the rest of the Western Cape. Search by service or name, see menus and price lists in rand, then start a booking, quote or order in WRDO.
Yellow Pages local business search and full business listings, as structured JSON.
Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
Verified local-business leads: search by niche and US city, export to Close, GoHighLevel or Sheets.
Read-only search of upcoming local events worldwide: music, comedy, AI/tech, arts, food, sports.
Local SEO MCP: Google Maps rankings, Google Business Profile ratings and review counts. Google Maps positions for a keyword in a city with rating, review count, category and address, and a business's Google Business Profile with rating distribution and claimed status. Use for point-in-time Google Maps rankings and Google Business Profile lookup by location. This focused SEO Data subset returns rating and review-count summaries, not full review text, review replies or Business Profile management. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Check Google Maps results for 'running shoe store' in the city I specify after I approve the API-credit cost. - Within my approved API-credit budget, compare Maps rankings for the same keyword in two specified places. - After confirming the API-credit spend, retrieve the business profile I specify and summarize its rating and review counts, not review text. Docs: https://docs.crakseo.com/mcp-servers/local-seo
All public upAPI operations as MCP tools: web scraping, search, screenshots, PDF, OCR and more.
Hyper-local events and venues (trivia, open mics, readings, gigs) for US metros and London.
Fragrance catalogue with verdicts, similarity scores, scent profiles, drydowns and local prices.
AI-answer-engine visibility scans for local businesses, as agent tools
Google SERP API MCP: live Google, Bing, AI Overview and Google Maps results as JSON. Pay per call. Live search engine results pages as structured JSON: Google organic results with SERP features and AI Overview sources, Bing results, Google Maps local results, and live Google rank checks for a domain across up to 10 keywords. Use when an agent needs live Google or Bing search results for a keyword, country, language and device. This is a focused subset of SEO Data, not an additional required connection or a scheduled monitoring service. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Show the top ten Google results and SERP features for 'trail running shoes' in the US, after I approve the API-credit spend. - Compare Google and Bing results for my keyword in the same market, within my approved API-credit budget. - After confirming the API-credit cost, report which source URLs Google's AI Overview cites for my keyword. If none is present, say so. Docs: https://docs.crakseo.com/mcp-servers/serp-api
Search photos and video moments by visual meaning, people, dates, and folders across local libraries, Apple Photos, and OneDrive. Manage collections, groups, favorites, people, and duplicate review. Synced metadata remains searchable while the desktop is offline; local and Apple Photos media access needs the owning device online with remote access enabled. OneDrive media can be accessed directly from the cloud. OAuth or Bearer API keys. Paid Cloud Access required; hosted visual search uses prepaid credits. Text-in-image search is semantic matching, not guaranteed exact OCR. Setup: https://organizewith.ai/en/guides/connect-ai-assistants
# **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.
SEO data MCP: SERP, keywords, backlinks, live rank checks, page audits, local and AI checks. Every SEO data tool in one server: Google and Bing SERP results, live rank checks, AI Overview sources, keyword search volume, ideas and difficulty, backlinks, referring domains and anchors, ranked keywords, competitor domains and keyword gaps, site audits with Lighthouse scores, Google Maps rankings, Google Business Profiles, and ChatGPT and Perplexity brand mentions. Start here for paid SEO research with one connection. Includes all seven focused SEO data servers' tools at the same prices and from the same API-credit balance; do not connect both for duplicate results. Search Console reporting and URL Indexing are separate connections. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - After I approve the API-credit cost, compare US search volume and difficulty for 'trail running shoes' and 'running shoes for flat feet'. - For the domain I provide, check its backlink summary, referring domains and anchor texts after confirming the API-credit spend. - Compare live Google positions and competitor keyword opportunities for my domain and keywords, within the API-credit budget I approve. Docs: https://docs.crakseo.com/mcp-servers/seo
CrakSEO remote MCP for Google Search Console query analytics and URL inspection. OAuth and connected-property ownership required. Bing and write operations depend on current availability. Docs: https://docs.crakseo.com/mcp-servers/search-console
씨고 나노섬유 카세이프 맞춤 차량용 필터 규격 조회, 환경 리스크 진단 및 B2B 공조 솔루션
Search open model file records, inspect recorded SHA-256 hashes and license labels, and check estimated memory fit. Public reads need no account. Connect over Streamable HTTP. Public board and request tools require user consent. A matching hash checks bytes; fit and license labels do not establish successful execution or permission for every use. Hosted MCP: https://huggingbay.xyz/api/mcp Install: npx -y hugging-bay-mcp@0.1.13 Docs: https://huggingbay.xyz/docs Repository: https://github.com/barneywohl/hugging-bay
Worldwide directory of Contact Improvisation dance: search upcoming festivals, workshops, intensives and retreats, teachers, venues and local communities that run regular jams. Read-only, no account needed. Returns current listings with links to citreasurehunt.com.
Free trading calculators, trading-system rules, a glossary and lesson search. No market data.
Find and book verified local home service professionals through AI agents.
Vesremont catalog, product search and buyer-authorized shopping operations.
Find local businesses on Google Maps, Yellow Pages and Yelp, then pull emails and phones from sites.
Search open robot training jobs (robot teleoperation, demonstration data collection, at-home video recording, robot QA, robot fleet operations, autonomous vehicle and drone operator roles) from about 60 employers, with the hourly pay each role advertises. Updated daily from the employers' own job feeds.
Lean operations knowledge base built on DBS: cited answers, tool cards, plans and diagnoses.
Web research across search, Reddit, YouTube, local businesses, reviews, ad libraries and more. Every answer carries line-numbered citations; up to 1,000 rows per call without loading them into context.
Verified US local service providers across 10 home-services trades. Owned data, no API key.
Google Shopping products and seller prices, plus Google Search, Images, News and Local results.
Search products and stores in local physical shops. Find availability, prices, and store locations. Currently focused on hardware stores in Spain.
