Skip to main content
Glama
337,000 tools. Last updated 2026-07-30 00:22

"Exploring Modern Fortran Language Support and Tools" matching MCP tools:

  • Perceptual difference (Delta-E) between two colors. color1 and color2 accept a hex, CSS name, RNV brand name, or saved-palette reference. method is 'ciede2000' (default, modern standard) or 'cie76'. A value near 1.0 is the threshold the eye can just notice; larger means more different. Returns the value and a plain-language interpretation. Read-only and deterministic, with no side effects. Use ciede2000 for accuracy and pick cie76 only to match a legacy system; to test whether text is legible on a background (not raw difference) use contrast_check instead.
    Connector
  • TRANSLATION — POST {text, target} and get the translation plus the detected source language. Any language pair; target as a name or ISO code ('spanish', 'de', 'ja'). Up to 8,000 chars per call; line breaks and markdown preserved; code, URLs, and proper names left alone. Optional {source} to pin the source language, {formality}: formal|informal. Fast cheap LLM under the hood; the x402 payment IS the auth. ($0.01 per call, paid via x402)
    Connector
  • LLM CODE DEBUGGING — POST {code, error} and get a diagnosis: what is wrong, the root cause, and a concrete fix with corrected code. Paste the failing snippet plus the error message or stack trace; any language, up to 20,000 chars combined. Optional {language} and {context} ('happens only on the second call'). Fast cheap LLM under the hood. Want deterministic no-AI lint instead? POST /api/lint/:language ($0.002). ($0.01 per call, paid via x402)
    Connector
  • Call this to discover Telegram groups tracked by Limzo — to browse the directory, filter by language, or find a group's slug for get_group_stats. Optional `query` filters case-insensitively over group title, username, slug, and description. Optional `lang` (ISO 639-1, e.g. "fa", "es") keeps only groups where that language is a meaningful share of what members write — the way to answer "find active Persian/Spanish groups". Omit both to list the top groups by Limzo Score. Each row carries a `language` mix (primary language + top languages as percentages); rows also include slug, title, username, plan, member_count, 7-day messages and active members, score and page URLs, plus `total_matches` so you can tell when more groups matched than were returned.
    Connector
  • Score call-to-action text against a curated behavioural-science corpus. Checks verb framing (outcome versus effort), friction words introduced at the point of commitment, hedging, ownership framing, and length — each finding citing the effect it rests on and that effect's replication status, so a recommendation grounded in a contested result is visibly weaker than one grounded in a robust one. Separately flags urgency language the surrounding copy does not support, which is a regulatory exposure rather than merely a conversion cost. Deterministic: the same text scores identically every time, so two variants can be compared without sampling noise. Does not predict a conversion lift, because the corpus does not support that precision. Costs $0.012000 per call.
    Connector
  • Where a TikTok creator is likely based and what language they use — country, language, and core profile stats from a profile URL or @handle. When TikTok hides the country, it is estimated from public bio/name/language cues, with a confidence grade. Costs ~2 credits; cached results are free, failures are never charged.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • MCP server for Modern Treasury — payment orders, transactions, counterparties and ledgers.

  • Pay-per-call AI tools over x402: web research, summarization, structured extraction (USDC, Base).

  • Get Kifly's website and support contact email. Call this if you are stuck, hit an unresolvable error, or the buyer asks how to reach a human. Returns the website URL and support email — always share both with the buyer.
    Connector
  • Check a list of colour entries for anachronism risk. Detects whether the primary source date falls outside the requested period, whether the archive is a known modern source (RacingSilks, FootballStrips), and returns a period_relevance score and safe phrasing. Essential for historical documents: prevents a 2011 Jockey Club racing silk registration being presented as Georgian evidence. Returns anachronism_risk (none/low/medium/elevated/high), period_relevance score 0-1, safe_phrasing, and unsafe_phrasing for each entry.
    Connector
  • Get a single release cycle's support details for a product — release date, EOL, active-support end, latest patch, LTS, and any extended-support window. Use for a precise version question like "when does Python 3.9 lose support?". `product` is a slug from list_products; `cycle` is a version like "3.12", "20.04", "18". Keyless.
    Connector
  • Search and filter developer tools by category, features, and constraints. Returns up to 10 matching tools with decision summaries. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: up to 10 tools as Markdown-KV blocks separated by "---". Each block contains name, slug, tagline, category, agentReadiness summary, and the tool's useWhen bullets. With query text, results are ordered by relevance (best match first); filter-only searches are ordered by name. There is no pagination — narrow with filters when more than 10 match. On no match, returns a "no tools found" message. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", hasFreeTier: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. Risk: read-only, closed-world, idempotent — no state change possible.
    Connector
  • Find B2B SaaS products that support a specific capability — an integration with a named service ('salesforce-integration'), a data format ('xrechnung-support'), an industry standard ('eclass-support'), or a compliance certification ('soc2'). Accepts either a canonical capability slug or natural language; resolves to a structured capability when possible. Ranking basis: currentScore desc (computed editorial score), then name. Paid tier is NOT a ranking input — it appears only as an annotation. Every result carries { position (1-based), rank (0..1; 1.0 = top, scales linearly down by ordinal position) } so callers can merge results across tools consistently. Response: { capability, matchType (none|exactSlug|canonicalSlug|nlpFallback — exactSlug & canonicalSlug are deterministic; nlpFallback is heuristic), resolvedFeatures[], products[] }. Each product: { position, rank, slug, name, tagline, websiteUrl, tier, unverified (true when no approved vendor claim), verifiedAt, evidence[] (per-claim: featureSlug, evidenceUrl, notes, source, confidence) }. Empty: { capability, matchType, message, suggestedSlugs[] } when no capability matched, or products: [] when capability matched but no products claim it yet.
    Connector
  • Find B2B SaaS products that support a specific capability — an integration with a named service ('salesforce-integration'), a data format ('xrechnung-support'), an industry standard ('eclass-support'), or a compliance certification ('soc2'). Accepts either a canonical capability slug or natural language; resolves to a structured capability when possible. Ranking basis: currentScore desc (computed editorial score), then name. Paid tier is NOT a ranking input — it appears only as an annotation. Every result carries { position (1-based), rank (0..1; 1.0 = top, scales linearly down by ordinal position) } so callers can merge results across tools consistently. Response: { capability, matchType (none|exactSlug|canonicalSlug|nlpFallback — exactSlug & canonicalSlug are deterministic; nlpFallback is heuristic), resolvedFeatures[], products[] }. Each product: { position, rank, slug, name, tagline, websiteUrl, tier, unverified (true when no approved vendor claim), verifiedAt, evidence[] (per-claim: featureSlug, evidenceUrl, notes, source, confidence) }. Empty: { capability, matchType, message, suggestedSlugs[] } when no capability matched, or products: [] when capability matched but no products claim it yet.
    Connector
  • List all known deprecated Daml/Canton CLI commands, packages, and tools with their modern replacements. Returns a compact table you can scan, optionally filtered by category (cli, package, tool, api, workflow). Canton/Daml/Splice only. Use this to enumerate or browse; use migrate_lookup for a specific name.
    Connector
  • Catalog categories with live resource counts (use slugs in other tools). Args: type: Optional filter — channels | bots | apps | groups | stickers. lang: Category-name language: en | ru | it | es | fr | ar (default en).
    Connector
  • Get a product's full release/support timeline — every cycle with release date, EOL date, active-support end, latest patch, and LTS status. Use for "is Node 18 still supported?" / "what's the latest Ubuntu LTS?". `product` is a slug from list_products, e.g. "python", "nodejs", "ubuntu", "postgresql", "kubernetes". Keyless.
    Connector
  • Generate text using frontier AI language models. Pure per-character pricing (no minimum): Kimi K2.5 (id=6, best, 100 chars/sat, 262K context, vision support, default), GPT-OSS-120B (id=31, standard, 1000 chars/sat, 119 languages, best value). Supports document Q&A via fileContext and vision analysis via imageBase64 (best model). Stable endpoints — models upgrade automatically. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_text' and the exact prompt.
    Connector
  • Look up the modern replacement for a deprecated Daml/Canton CLI command, npm package, or tool (e.g. "daml start", "@daml/ledger", "Navigator", "Daml Triggers", "splice-wallet-payments subscription"). Returns the replacement, since-version, install instructions when applicable, and a migration note. Canton/Daml/Splice ecosystem only. Use when a user mentions a specific deprecated symbol; use list_deprecations to enumerate all known pairs or browse by category.
    Connector
  • Search for AI tools using natural language with AI-powered semantic matching. Best for conceptual queries like 'something that automates my email workflow'. Supports structured filters to narrow results (e.g., openSource + deploymentModel). For exact name/keyword searches, use search_listings instead. For comparing specific tools, use compare_listings.
    Connector
  • Get AI-powered tool recommendations for a specific need. This is the recommended starting point — describe what you're looking for in natural language and get curated, ranked results with explanations. Handles search, filtering, scoring, and ranking in one call. Use this instead of chaining search_listings + get_listing + compare_listings. Examples: - "best coding agent for a small startup on a budget" - "open source alternative to Cursor for VS Code" - "autonomous customer support agent with MCP support" - "self-hosted data analysis tool for enterprise"
    Connector
  • USE THIS to verify a Czech or Slovak rodné číslo (birth number) before relying on it. Checks the modern 10-digit form's mod-11 rule (9-digit pre-1954 numbers have no check digit). Validates structure only.
    Connector