Matrix Scalar: Matrix Scalar
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619,831 tools. Updated 2026-09-28 18:53
"Scalar" matching MCP tools:
- Watch scalar cell values across every execution of a table to spot outliers, then jump to the exact pass with a breakpoint and inspect the frame.LGPL 3.0
- Add or confirm a member to a set-valued memory slot, converting scalar slots to sets on first use. Number-led values are parked as contested until resolved, keeping memory accurate.Apache 2.0
- Initialize a new vector collection at a specified path, define its vector and scalar fields with optional indexes, and open it for use.Apache 2.0
- Retrieve effective tracker settings for an app, applying app-specific overrides and global fallbacks. Optionally include raw app and global inputs for detailed inspection.MIT
- Validate feature definitions before building: catch unknown templates, missing or malformed references, and invalid scalar inputs, returning a list of problems.Apache 2.0
Matching MCP Servers
- AlicenseAqualityBmaintenanceMCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.611GPL 3.0
- AlicenseNot gradedqualityCmaintenanceExposes OpenAPI specifications as queryable documentation resources for LLMs, enabling semantic search, endpoint details, and deep links to Scalar docs.MIT
- Search for similar documents by vector similarity, with optional scalar filters like age > 25.Apache 2.0
- Discover all FLOX-supported indicators with their signatures, batch functions, and output shapes. Use it to find available indicators or verify an indicator name before suggesting one.MIT
- Check an OpenAPI spec for schemas no value can satisfy, such as arrays with scalar enums or oneOf with additionalProperties false. Find these defects before serving or deploying to prevent mock validation errors.MIT
- Update scalar fields of a security finding, such as title, severity, status, taxonomy, or assets. Use this tool to modify a finding's metadata without altering its prose body or evidence.MIT
- Persist durable, typed knowledge (facts, decisions, lessons, instructions) into long-term memory across sessions. Supports single or batch entries while excluding ephemeral task state.AGPL 3.0
- Get a feature template's reference geometry and input parameters (types, units, defaults, ranges) to validate or build parametric designs.Apache 2.0
- Create an index on a collection field to accelerate vector or scalar queries. Choose from HNSW, Flat, IVF, or inverted index types.Apache 2.0
- Search for similar vectors in Baidu Vector Database tables while filtering results by scalar attributes to find relevant data points efficiently.Apache 2.0
- Remove entities from a Milvus vector database collection using filtering conditions or primary keys to manage data efficiently.Apache 2.0
- Modify character attributes, ability scores, conditions, proficiencies, languages, and features in Dungeons & Dragons campaigns to reflect gameplay changes and progression.MIT
- Find notes by exact frontmatter property value without text queries. Supports scalar and array properties, optional folder filtering, returns matching note metadata.MIT
- Query scalar data from TensorBoard event files by specifying tags, start step, and end step to retrieve targeted metrics without loading the entire file.GPL 3.0
- Create or update a SuprSend user's properties and channel registrations. Supports setting scalar values, appending arrays, incrementing numbers, and adding/removing delivery channels.MITDestructive
- Compute scalar summaries like average, RMS, and peak values for a signal from an LTspice simulation. Supports transient, DC, AC, and noise analyses with time windowing for accurate results.GPL 3.0
- Sweep a scalar parameter across a list of values, re-solve the AMPL model for each, and collect objective and custom expression results in a single call.MIT