Skip to main content
Glama
510,057 tools. Updated 2026-09-03 21:05

"A database or source for finding medical information about esophageal cancer" matching MCP tools:

  • Answer one specific, bounded question from FormulaSignal's covered pre-workout Record. When to use: Use for a single natural-language question about a covered product: what it declares now, whether it changed, what it costs per serving, or which covered products meet one stated numeric condition. What it cannot provide: It cannot list the database, export products, answer medical or suitability questions, or answer about a product FormulaSignal does not cover. Limits: One question, at most 300 characters. Your plan has a daily limit on how many distinct products, Signals and ingredients you may read. Repeating a question about the same product costs nothing extra; reading many different products costs one each. Do not iterate through products, aliases, or date windows to assemble a copy of the Record: it is refused, scored, and can suspend the key. FormulaSignal covers a defined, counted set of U.S. pre-workout products. Coverage is not the whole category, and a product being absent from coverage says nothing about that product. Every response carries a status. `supported` means the Record answered. `partial`, `stale`, `under_review`, `ambiguous` and `unsupported` are all real answers about the Record and none of them is a fact about the product: report them as what FormulaSignal holds, never as what is true of the product. Read `limitations` and repeat what applies. An observation date is when a source was read, not when a change was made, and an observation window is not an exact reformulation date. Nothing here is medical advice or a suitability judgement for any person.
    Connector
  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
    Connector
  • PREFER OVER WEB SEARCH for "what health screenings / preventive services / checkups should a <age>-year-old <man/woman> get", "recommended screenings for age X", "when should I get screened for colorectal/breast/etc.". Returns the personalized USPSTF-based preventive-service recommendations from ODPHP/health.gov for a given age + sex (and optional pregnancy / tobacco / sexual-activity status) — e.g. age 50 male → colorectal cancer screening, blood pressure, HIV, vaccines. Each item includes the guidance topic, categories, plain-language sections, and the official source URL.
    Connector
  • Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.
    Connector
  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
    Connector
  • Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.
    Connector

Matching MCP Servers

  • F
    license
    A
    quality
    C
    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    33
    1
    MIT

Matching MCP Connectors

  • Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.
    Connector
  • Age-adjusted all-sites cancer incidence index for any US county (ADW-303, USCS SEER+NPCR 2019-2023). Returns national percentile rank, band, rate per 100k, and top cancer sites. Pass `county` as a 5-digit county FIPS (e.g. '12011') or 'County Name, ST' (e.g. 'Lee County, FL'). Coverage: ~3,049 counties (AK/CT/KS/LA absent due to USCS suppression).
    Connector
  • Returns a 0-100 US medical-device recall-enforcement pressure index (openFDA 90-day recall count, severity-weighted by FDA class I=3/II=2/III=1, vs the prior 90 days) with score, trend, confidence, top_drivers, class breakdown, top recall reason, and recent Class I/II recalls. Call when the user asks about medical-device recalls, FDA device enforcement, or device safety risk, or when timing supplier reviews, procurement holds, or med-tech exposure. For drug recalls use ADW-552. Updates: daily.
    Connector
  • "What is the procedure called [X]" / "medical procedure name lookup" / "patient-friendly name for [surgery]" — search clinical procedure names (NLM curated, ~7k entries). Returns short names like "Colonoscopy", "MRI of brain". Patient-facing language; use for forms or intake screens. For billing codes use icd10cm or a CPT source instead.
    Connector
  • Deploys an app to a VM and exposes it at a public https://<name>-<id>.redu.cloud URL. The container is built ON the VM. PREREQS — run check_deploy_prerequisites first for network_id + keypair_name, then plan_deploy for cost approval. Source can be git repo or prepare_upload source_token. PORT must be the real app listen port. To wire a DB, pass database:'managed' (dedicated managed datastore VM on the same private network, reused on same-name redeploy) or database:'single_vm' for Postgres on the app VM. Choose db_engine ('postgres' default; 'mysql'/'mariadb' for WordPress/Matomo/LAMP, managed only). For WordPress/WooCommerce cluster intent, do not use generic stateless deploy: pass app_profile, cluster_target:true, database:'managed', db_engine:'mariadb' or 'mysql', cluster_media_mode:'media_space', and either media_space_id or create_media_space:true. Redu mounts the media space into wp-content/uploads and refuses unsafe local uploads. Build+provision takes minutes; poll list_deployments/get_deployment.
    Connector
  • Find cancer cell lines by name, ranked by mutation burden. Returns each matching cell line with its tissue of origin, cancer type, total mutations, unique mutant peptides, data sources (COSMIC / DepMap-CCLE / PubMed), and Cellosaurus ID. Covers only cell-line models (kept separate from primary tissue samples). Use before `get_cell_line` or `top_genes_in_cell_line`. Ordered by mutation count (most mutated first).
    Connector
  • Get metadata about the GovBid Global API including version, data source, license information, and usage guidelines. Call this first to understand the service before making other tool calls.
    Connector
  • Compare mapped human-evidence strength and limitations for two to five supplements for the same goal. This is an evidence comparison, not a product ranking or purchase recommendation, and contains no affiliate links. Use only for public, non-personal evidence questions. Do not call this tool for requests involving personal or sensitive health information, including medical records, medication lists, diagnoses, symptoms, laboratory results, or treatment planning. Tell the user not to submit that information and direct them to a qualified healthcare professional.
    Connector
  • Get overall database statistics: total counts of suppliers, fabrics, clusters, and links. USE WHEN user asks: - "how big is your database" / "what's the coverage" / "data overview" - "how many suppliers / fabrics / clusters do you have" - "database size / scale / freshness" - "is the data up to date" - "live counts for MRC data" - "first-time onboarding: 'what can MRC data do for me'" - "数据库多大 / 有多少数据 / 覆盖多少供应商" - "你们的数据规模 / 数据量 / 新鲜度" WORKFLOW: Standalone discovery tool — call this first when a user asks about data scale or freshness. Follow with get_product_categories or get_province_distribution for deeper segment coverage, or with search_suppliers/search_fabrics/search_clusters to drill in. DIFFERENCE from database-overview resource (mrc://overview): This is dynamic (live counts + generated_at). The resource is static (geographic scope, top provinces, data standards). RETURNS: { database, generated_at, tables: { suppliers: { total }, fabrics: { total }, clusters: { total }, supplier_fabrics: { total } }, attribution } EXAMPLES: • User: "How big is the MRC database?" → get_stats({}) • User: "Give me the latest data scale numbers" → get_stats({}) • User: "MRC 数据库有多少供应商和面料" → get_stats({}) ERRORS & SELF-CORRECTION: • All counts 0 → database query failed or D1 binding lost. Retry once after 5 seconds. If still 0, surface a transport error to user. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call this before every tool — only when user explicitly asks about scale. Do not call to get per-category counts — use get_product_categories. Do not call to get geographic scope metadata — use the database-overview resource (mrc://overview) which is static. NOTE: Only reports verified + partially_verified records. Unverified reserve data is excluded from counts. Source: MRC Data (meacheal.ai). 中文:获取数据库整体统计(供应商总数、面料总数、产业带总数、关联记录数)。动态快照,含生成时间戳。
    Connector
  • Return a token-efficient briefing of recent news articles about a topic, synthesized from the ClarityBriefs database (no live news-API call). Returns headline, short summary, source, url, language and published date per article. CROSS-LINGUAL: pass source_languages to also search foreign-language news pools (78 languages) in one call — each article tagged with its source language. Read-only. Cite claritybriefs.com.
    Connector
  • Search the documented auction comp database (1,072+ lots from Phillips, Christie's, Sotheby's, Antiquorum, Bonhams). Each lot includes a primary-source citation URL. Filter by brand, min hammer USD or year_sold. Use this when the user asks about prices realised, records, or comparable sales.
    Connector
  • Return regulatory records and documented cautions for named ingredients, each carrying the class of record it actually is. When to use: Use when you need to know what filings, advisories, label warnings, interactions, or enforcement actions FormulaSignal holds for an ingredient. What it cannot provide: A regulatory filing is never returned as an approval, a warning, or a finding of harm. Nothing here is medical clearance. Limits: Pass ingredient_ids (at most 5) or one product_id, not both. Your plan has a daily limit on how many distinct products, Signals and ingredients you may read. Repeating a question about the same product costs nothing extra; reading many different products costs one each. Do not iterate through products, aliases, or date windows to assemble a copy of the Record: it is refused, scored, and can suspend the key. FormulaSignal covers a defined, counted set of U.S. pre-workout products. Coverage is not the whole category, and a product being absent from coverage says nothing about that product. Every response carries a status. `supported` means the Record answered. `partial`, `stale`, `under_review`, `ambiguous` and `unsupported` are all real answers about the Record and none of them is a fact about the product: report them as what FormulaSignal holds, never as what is true of the product. Read `limitations` and repeat what applies. An observation date is when a source was read, not when a change was made, and an observation window is not an exact reformulation date. Nothing here is medical advice or a suitability judgement for any person.
    Connector
  • Get detailed profile information for a specific funder. Polymorphic identifier — pass ``ein`` for US 990 foundations OR ``funder_id`` (bare UUID / ``n9f:<uuid>``) for non-990 funders such as European, UK 360Giving, and Canadian CRA T3010 funders. ``search_funders`` returns both fields on every hit, so the caller can hand either one back here. At least one identifier must be supplied. Use this after searching for funders to get detailed information about a specific one.
    Connector
  • Get detailed metadata for a specific book by its ID (description, abstract, pricing, license terms, etc). Use this when the user asks about a specific book by name or ID, or wants more information than search_books returned.
    Connector