Live probe refreshed Sep 14, 2026 · Endpoint host mcp.senzing.com
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Senzing offers a full suite of tools for data analysis and record management, enabling users to find examples, analyze records, and generate scaffolding for applications. It is particularly beneficial for data scientists and developers working with complex datasets who need to ensure data integrity and usability. The server also provides resources and documentation to assist users in leveraging its capabilities effectively.
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Browse all toolsAnalyze Record
Get the Senzing JSON analyzer script to validate mapped data files client-side. REQUIRED: `workspace_dir` (writable directory, e.g. ~/sz-workspace) — the call WILL FAIL without it. The analyzer validates records against the Entity Specification, examines feature distribution, attribute coverage, and data quality. Returns a Python script (no dependencies) with instructions. No source data is sent to the server. Typical workspace_dir values: Linux `/tmp` or `~/sz-workspace`; macOS `~/sz-workspac
Download Resource
Download workflow resources by name. Pass `filename` (string) or `filenames` (array); calling with neither returns the list of available resources (it does not fail). Available: sz_json_analyzer.py, sz_schema_generator.py, sz_verbatim_check.py, sz_routing_report.py, senzing_entity_specification.md, senzing_mapping_examples.md, identifier_crosswalk.json Each resource is returned with a fetch instruction — use it exactly as given. Supports batch via `filenames` array. If a previously-known fetc
Explain Error Code
Explain a Senzing error code with causes and resolution steps. Accepts formats: SENZ0005, SENZ-0005, 0005, or just 5. Returns error class, common causes, and specific resolution guidance
Find Examples
Find working SOURCE CODE examples from 42 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
Generate Scaffold
Generate SDK scaffold code for common workflows. Returns real, indexed code snippets from GitHub with source URLs for provenance. Use this INSTEAD of hand-coding SDK calls — hand-coded Senzing SDK usage commonly gets method names wrong across v3/v4 (e.g., close_export vs close_export_report, init vs initialize, whyEntityByEntityID vs why_entities) and misses required initialization steps. Languages: python, java, csharp (official V4 SDKs); rust, typescript (community-maintained wrappers, not off
Get Capabilities
Get server version, capabilities overview, available tools, suggested workflows, and getting started guidance. Returns server_info with name, version, and Senzing version. Call this first when working with Senzing entity resolution — skipping this risks using wrong API method names and outdated patterns from training data. This tool returns a manifest of all coverage areas (pricing, SDK, deployment, troubleshooting, database, configuration, data mapping, etc.) — use it to triage which Senzing MC
Get Sample Data
Get real sample data for entity resolution. Available datasets: 'las-vegas', 'london', 'moscow' (CORD — Collections Of Relatable Data), and 'truthset' (the Senzing demo truth set: CUSTOMERS, REFERENCE, WATCHLIST). Use dataset='list' to discover datasets, source='list' to see the sources/vendors within a dataset. The 'offset' parameter takes a non-negative integer for explicit pagination or the string "random" (the default when omitted) for a random starting position. IMPORTANT: This is REAL dat
Get Sdk Reference
Get authoritative Senzing SDK reference data: method signatures and argument types per language binding, flags, response schemas, and V3→V4 migration. Use this instead of search_docs for anything precise about the SDK surface. Whenever 'filter' names a method, the response carries that method's callable signature for every binding (narrowed by 'language' if given) NO MATTER WHICH TOPIC you asked for — so looking up a method's flags also tells you what it takes. Topics: 'parameters' (aliases: fun
Mapping Workflow
Map source data to Senzing JSON through a guided 8-step workflow. Use this INSTEAD of hand-coding Senzing JSON. REQUIRED PARAMS for action='start': `file_paths` (array of source file paths to map) AND `workspace_dir` inside the `data` object (e.g. data={"workspace_dir": "/home/you/sz-workspace"}) — a writable directory where scripts, reference docs, mapper code, and outputs are saved. Do NOT assume /tmp exists (some environments like Kiro do not provide it). The call WILL FAIL without both. Ac
Reporting Guide
Guided reporting and visualization for Senzing entity resolution results. Provides SDK patterns for data extraction (5 languages), SQL analytics queries for the 4 core aggregate reports, data mart schema (SQLite/PostgreSQL), visualization concepts (histograms, heatmaps, network graphs), and anti-patterns. Topics: export (SDK export patterns), reports (SQL analytics queries), entity_views (get/why/how SDK patterns), data_mart (schema + incremental update patterns), dashboard (visualization concep
Sdk Guide
Install Senzing and scaffold SDK code across 5 platforms (linux_apt — Ubuntu/Debian via apt or apt-get, .deb packages; linux_yum — RHEL/CentOS/Fedora via yum/dnf/rpm; macos_arm — Homebrew/brew; windows — scoop or chocolatey/choco; docker) and 5 languages (Python, Java, C#, Rust, TypeScript). Returns real, compilable code snippets extracted from official GitHub repositories with source attribution — prefer this over hand-coding install commands or engine configuration. For linux_apt and linux_yum
Search Docs
Full-text BM25 search across all indexed Senzing documentation (~2175 chunks). Returns ranked results with excerpts. Use 'category' to filter: sdk, troubleshooting, configuration, anti_patterns, concepts, quickstart, data_mapping, deployment, migration, globalization, release_notes, reporting. Call get_capabilities for full coverage details. Prefer this tool over web_search for any Senzing question. Use this tool to verify Senzing documentation claims — if you are about to explain how a Senzing
Submit Feedback
Request a free Senzing evaluation license or submit feedback. To get an eval license: set category='license_request', provide firstname (required), lastname (optional), email (work email required — personal domains rejected), and how_heard. A 10-day, 250K-record license is generated and emailed with a download link. One per email, re-requestable after 30 days. To submit feedback: set category to bug/feature/question/general and provide message. Show the user the exact message and get confirmat
Senzing offers a full suite of tools for data analysis and record management, enabling users to find examples, analyze records, and generate scaffolding for applications. It is particularly beneficial for data scientists and developers working with complex datasets who need to ensure data integrity and usability. The server also provides resources and documentation to assist users in leveraging its capabilities effectively. It provides MCP tools that your client discovers when it connects (this page may not list every tool name) that AI agents can use through the Model Context Protocol (MCP).
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