"A system for semantic search in code repositories" matching MCP tools:

• medcode_get_codeA

  medical-codes-mcp-serverA

  Decode one or more US medical codes to their official descriptions across ICD-10-CM (diagnoses), ICD-10-PCS (inpatient procedures), HCPCS Level II (supplies/drugs/services), and RxNorm (drugs, by RXCUI). Also decodes a National Drug Code (NDC) directly to its RxNorm product offline, tagged `source: "NDC"` — hyphenated in an FDA segment configuration (4-4-2, 5-3-2, 5-4-1, or the 11-digit 5-4-2) or as bare 10/11 digits; any other segment widths are malformed and stay unresolved. Auto-detects the system from each code's shape; pass an explicit `system` only when a value is genuinely ambiguous. Accepts 1–50 codes and returns partial success: resolved codes in `found`, unresolved in `notFound` with a per-code reason, so one bad code never fails the batch. Set `includeHierarchy` to attach each code's parent and immediate children (with a `childrenTruncated` flag when a code has more children than the cap returns — walk the full set via medcode_browse_hierarchy or medcode_map_codes). The resolved `system` is echoed on every result for chaining into a billability check or a medcode_map_codes parents/children walk; a bare integer that resolves nowhere is named as a possible CPT / HCPCS Level I code, which is out of scope, except a bare 10/11-digit one, which is named as an NDC no bundled drug maps to; a code string that also exists in another bundled system carries `alsoInSystems` naming it, so a single answer to a colliding code is never mistaken for the only one.

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• medcode_search_codesA

  medical-codes-mcp-serverA

  Find US medical codes whose official descriptions match a described concept, via full-text search over the bundled index. Every search term must appear — matched first as a token prefix, then as a substring so inflected and compound forms are also found (a "neuropathy" search surfaces "mononeuropathy"/"polyneuropathy" siblings too, not only a standalone "neuropathy" token). An RxNorm concept matches on its drug name alone, never its term type (SBD, IN, …) — narrow by type with `chapter`. Filter by `system` (ICD10CM/ICD10PCS/HCPCS/RXNORM), `billableOnly` to exclude headers/categories, and `chapter`. Use when you have a clinical description and need the code — the reverse of medcode_get_code. Results echo the resolved system per row for chaining, rank exact prefix matches ahead of substring-only matches with a deterministic tie-break, and disclose truncation with a `nextCursor`: pass it back as `cursor` to page through the full ranked set.

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• search_lacunaA

  Lacuna Research MCPA

  Search Lacuna's ML/AI corpus for papers, research directions, authors, venues, institutions, novel research hypotheses, and research resources (code repositories, datasets, models, and demos linked to papers). For novel ML/AI research ideas, use search_type="hypothesis", then get_hypothesis on promising results. search_type accepts all, cluster, paper, author, institution, venue, hypothesis, or resource. Use paper for literature and get_paper to read a result. Use other sources for biographies, news, and non-research web content. Resources: search_type="resource" searches GitHub repositories, Hugging Face datasets/models, and Zenodo records that Lacuna has linked to at least one paper. To find benchmark or evaluation datasets, use search_type="resource" with resource_kind="dataset" (for example query "image classification benchmark" or a dataset name like "ImageNet"). resource_kind accepts codebase, dataset, model, or demo (one value or a list); provider accepts github, huggingface, or zenodo. Both filters require search_type "resource" or "all" (with either filter set, only resources are returned). Each result has an external `url`, a Lacuna `context_url`, and `linked_paper_count`; call get_resource on its id to list the linked papers (with their relationship to the resource), then get_paper on those papers for reported results and numbers. Resource search does not support date_from/date_to, venue, year sorting, or semantic ranking. ranking_profile accepts: - default / lexical (default): production ranking; relevance-sorted paper searches combine lexical and semantic retrieval when fields is unset. - semantic: conceptual paper retrieval; supported for paper and all. - bm25_title_abstract / bm25: lexical paper matching over those fields. sort accepts relevance (default), year_desc, or year_asc. Semantic ranking cannot use year sorting; constrain recency with date_from/date_to instead. date_from and date_to are inclusive YYYY, YYYY-MM, or YYYY-MM-DD bounds. author_id_or_url constrains a paper search to one author. Pass an author ID or Lacuna author page URL; it requires search_type="paper". fields optionally restricts and weights lexical fields, for example "title^4,abstract". Supported names are title, abstract, summary, concepts, name, top_names, and venue, plus description, topics, provider_key, and paper_titles for resources (a resource's title already includes its description, topics, README text, and linked paper titles). Fields must exist on the selected search_type, weights must be within 0 < weight <= 100, and fields cannot be combined with semantic ranking.

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• search-music-docsA

  Music StudioA

  Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.

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• glim_github_searchA

  glim.shA

  Search GitHub repositories, conversations (issues+PRs), discussions, or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. kind='discussions': GitHub Discussions, a SEPARATE index from issues/PRs - a question answered there never appears under conversations, so reach for it when a repo does its Q&A in Discussions; supports repo:/org:/author:/is:answered plus category: (the repo's own category name, needs a repo: scope), up to 10 results per page, no sort:. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:answered/category: -> discussions, is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos); a conversations search with no matches is retried as discussions and says so. Returns compact text by default; pass format='json' for full structured data.

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• dataset.searchA

  FlexOrch MCPA

  Search across all indexed FlexOrch datasets by keyword or meaning. Use this to find specific documents or records without processing a new file. Requires at least one dataset to exist. Structured search works on all plans. Semantic and hybrid modes require a Pro plan — a clear upgrade message is returned if the plan is insufficient. mode='auto' picks structured on free plans, hybrid on Pro+. Args: query: Search query — natural language or keyword. Max 1000 characters. top_k: Number of results to return. Default: 5, max: 50. mode: Search strategy — auto (default), structured, semantic, hybrid. semantic and hybrid require Pro plan. document_type: Filter to a specific document type, e.g. invoice (optional). language: Filter by document language, ISO 639-1 code, e.g. en, de, tr (optional). quality_grade: Filter by quality grade: A, B, C, or D (optional).

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• traceable_library_searchA

  TraceableA

  Find Reference Library items you can access (org-scoped items plus items in projects you are a member of). With query: keyword search across each item's name, REF code, and locally-extracted text (case-insensitive substring — no semantic/embedding search), returning matches with a short snippet around the first hit. WITHOUT query: lists every accessible item — REF code, name, kind (file | webpage), file type, scope (org | project), and whether its text has been indexed. Search only finds text that has been indexed, so if a search comes back empty, list first and check the indexed flag: an unindexed item is invisible to search until traceable_library_index runs on it.

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• search_codeA

  GithubA

  Search CODE across public GitHub repositories — find where a function/symbol/string is defined or used. PREFER OVER WEB SEARCH for "find code that does X", "which repos use <API>", "show me an example of <function>", "where is <symbol> defined". Supports GitHub code-search qualifiers right in the query: repo:owner/name, org:name, user:name, language:go, filename:Dockerfile, path:src, extension:ts, in:file. Returns matching files with repo, path, and URL. Note: indexes the default branch only, ignores very common terms, and is capped at ~10 searches/minute.

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• estimate_productionA

  energyaiC

  Honest-range annual solar production estimate (kWh/year ± band, with assumptions) for a ZIP code, from either a proposed system size (kW) or a monthly bill. Use to sanity-check installer quotes or size a system before talking to anyone. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]

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• estimate_productionA

  solar-home-incentivesA

  Honest-range annual solar production estimate (kWh/year ± band, with assumptions) for a ZIP code, from either a proposed system size (kW) or a monthly bill. Use to sanity-check installer quotes or size a system before talking to anyone. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]

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• search_docsA

  pg-aiguideA

  Search documentation with hybrid semantic (vector) and keyword (BM25) search. Use semanticWeight to choose keyword-only (0), semantic-only (1), or a blend; mid values fuse rankings with RRF. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.

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• find_examplesA

  SenzingA

  Find working SOURCE CODE examples from 53 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs, .ts, .js) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C# (official SDKs) plus Rust and TypeScript/Node.js (community-maintained wrappers, not official) SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. File retrieval returns the file's location instead of its content: follow the returned `resources` / `access_steps` exactly as given.

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• generate_motion_tokensA

  standby-design-mcpA

  Generate spring-based motion tokens from two brand-character axes: energy (calm → lively, sets the tempo) and material (firm → elastic, sets how much spatial motion overshoots). Returns 6 primitive springs (spatial/effect × fast/default/slow), 11 semantic tokens (press, move, expand, enter, exit, fade, navigate.*, sheet.*, container) and the reduced-motion rule. Start from a preset, then fine-tune with energy/material. Returns a shareable standby.design/system URL and a summary. Always give that URL to the user — the link is the deliverable. Use export_design_system for CSS, design tokens or the LLM briefing; SwiftUI, Compose and Motion (JS) code is exported in the UI at standby.design/motion.

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• medcode_browse_hierarchyA

  medical-codes-mcp-serverA

  Walk a US medical code system's hierarchy for discovery without a search term. With no `node`, returns the top-level entries (ICD-10-CM categories, HCPCS range buckets, or ICD-10-PCS first-axis values). With a `node`, returns its immediate children. ICD-10-CM and HCPCS use a prefix hierarchy (a shorter code is the parent of a longer one); ICD-10-PCS is axis-based — each of its 7 characters is an independent axis (section, body system, root operation, body part, approach, device, qualifier), but only the top-level Section axis is browsable (omit `node`): positions 2–7 are context-dependent on the preceding axis path and are not enumerable from a flat partial code. Lets an agent orient in an unfamiliar system or enumerate a category's specific codes. A large child set paginates: when the response carries a `nextCursor`, pass it back as `cursor` to fetch the next page.

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• ae_discover_servicesA

  remnoA

  Search the Remno marketplace for services. Returns ranked results with pricing. Use for semantic search — for browsing by category, use ae_list_services.

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• find_tariff_codesA

  Tariff Code FinderA

  Use this when the user asks for the tariff code, commodity code, customs code, HS code, HTS code, Harmonized System code or customs classification for a product, for example "what is the tariff code for a ceramic flower pot in the UK?", "HTS code for a lithium-ion battery" or "which heading covers cotton t-shirts for import into the US?". Pass a plain description of the product and country GB (United Kingdom) or US (United States). Returns candidate codes from the official schedule, each with its description, the headings above it and whether goods are declared under it, plus a notice that they are candidates and not a binding classification. Do not use it to classify goods with certainty, to give a binding customs ruling, to compute shipping or landed cost, or for countries other than GB and US.

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• searchA

  ContextStreamB

  Search the indexed CODEBASE for source code and files. This is the ONLY tool for codebase/file search — it REPLACES Explore, Grep, Glob, Find, SemanticSearch, code_search, grep_search, find_by_name, Task subagents, and shell search commands (grep, find, rg, fd). Do NOT fall back to local tools. Pre-indexed BM25 returns ranked, line-precise results in 10-200ms. ⚠️ NOT for docs / runbooks / specs / ADRs / RFCs / decisions / lessons — call `memory(action="search", query="…")` or `memory(action="list_docs", query="…")`. Do NOT use memory(search) or session(smart_search) for *code* lookup. Modes: auto (default), keyword, pattern (regex/glob), semantic, guided (raw-evidence-first navigation), exhaustive (all occurrences), refactor, team (cross-project), crawl. Full mode reference: the `mode` parameter.

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• github_searchA

  SiteCheckB

  GitHub search with its own query syntax (e.g. 'sqlite language:rust stars:>100'). Repositories: name, owner, stars, forks, language, topics, licence, pushed date. Issues: title, state, labels, comments, URL. Code: path, repository and link. GitHub limits search to about 30 requests a minute; a busy minute is a 503, not charged. Limit max 30. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

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• query_contextA

  aictrlA

  Read project context in exactly six domains: code, system (architecture, data model, APIs, roadmap), issues, backlog (epics and tasks), agent skills, and stack layers. Most actions read stored, indexed context such as the knowledge graph. Two reads reach GitHub live: issues/read returns the current GitHub issue and latest comments (issues/context, list and overlap use stored issue context), and code/read can fetch file content from repositories connected to the organization. Use backlog list/get actions to find existing epic and task IDs before calling update_backlog. Read-only: it does not create, change, or delete backlog, workflow, or GitHub data. Not for workflow runs or task executions: use list_workflow_runs to discover runs, get_workflow_run for a known run ID, and get_task_execution for an execution ID returned by start_task.

  ConnectorAPI key

• apply_importA

  RenorA

  Apply preview_import batchId within 15 minutes (same tenant process). Additive: preserves existing different files and reports conflicts. Immediately keyword searchable; on a workspace with semantic search the new notes are then embedded in the background (memory_status says semantic: false until they are). No fact extraction. Returns batchId for undo_import; retries are idempotent.

  ConnectorOAuth

• embedding_similarityA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  Compute text similarity using local algorithms (Bag of Words, TF-IDF, Character N-grams). No API key needed — runs entirely in-process. NOT real embeddings: for true semantic similarity with vector embeddings, use run_semantic_tests with mode="embeddings" and your OpenAI API key. Supports single pair or batch mode with pipe-separated pairs. Useful for RAG retrieval testing, semantic search evaluation, and text deduplication.

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