Provider hosted
No sign in
Tools: 27

Valem

Valem

Describe a model in plain words and Valem builds a live, reactive form where every derived value recomputes as you type.

https://valem.run/

Use in your AI tool

Use the tools from this page

Opens ChatGPT on the web or desktop and asks it to use the WebMCP tools available here.

Connect the MCP server

Connect straight to this server’s public endpoint.

Remote MCP URL
https://valem.run/mcp

Use on MCPBundles

We add this server to your workspace, then open Studio — saved access, one connection to many servers, with a history of what ran.

Last probed Sep 14, 2026 · valem.run

27tools discovered

Tools discovered (27)

Showing 25 of 27 from the live probe.

  • List models

    List the ids of all currently registered Valem models (alphabetical).

  • Create model

    Create a new model from a declarative ModelSpec. The spec carries the JSON schema plus derivations (computed fields), constraints (invariants), and optional effects. Returns the created id. Fails (isError) on an invalid spec. If the requested id is already taken, a numeric postfix (-2, -3, …) is appended so the create still succeeds — always read the returned id, it may differ from the one you sent. When paired with a browser (remote_with_browser mode), ALWAYS include a viewDefinition in the spe

  • Get model info

    Get summary info for a model: id, version, and derivation/meta/constraint/effect counts.

  • Get model spec

    Get the full stored ModelSpec JSON for a model.

  • Get model library

    List the JSONata functions and values a model's library exports — what an expression in this model may call, with signature, arity and originating layer. Call it before writing an expression so you reuse the model's existing vocabulary instead of re-deriving it. Returns null when the model declares no library.

  • Get state

    Get a model's merged state (base fields plus all computed derived fields). On a large model this is the biggest context cost — narrow it: pass 'paths' to project only specific subtrees (canonical addresses, each spliced back into a pruned document at its address), and/or 'depth' to cap nesting (deeper containers collapse to a '<object: N fields>' / '<array: N items>' marker). Pass an optional ISO-8601 'at' timestamp for a point-in-time read from mutation history.

  • Get field value

    Get the value of a single field by its JSON Path address (e.g. "$.order.total"). Evaluates a LAZY derivation on demand.

  • Apply mutations

    Apply field mutations to a model and run the reactive pipeline (derivations recompute, constraints enforce, effects dispatch). 'mutations' is a flat map keyed by canonical JSON Path address, e.g. {"$.order.qty": 3}. A ROLLBACK constraint violation returns isError with the structured list of violated constraints. Returns the actionable summary (derivedUpdated / flaggedConstraints / dispatchedEffects); pass includeTraces:true for the full derivation/constraint trace (the same payload 'explain' ser

  • Patch model

    Apply an RFC 6902 JSON Patch document to a model and run the reactive pipeline. Unlike 'mutate' (a flat address→value map), a patch expresses array insert/remove/move and test/copy ops, e.g. [{"op":"add","path":"/order/items/-","value":{...}}, {"op":"remove","path":"/order/items/0"}]. 'path' fields use RFC 6901 JSON Pointer (slash-separated, '-' for array append), NOT the $.-rooted address form. Same result shape and ROLLBACK/schema error handling as 'mutate'.

  • Get effective schema

    Get the effective JSON Schema for a field: the static schema overlaid with LIVE meta-derived constraints (current min/max/required/…). Check this BEFORE writing a value to learn what the reactive pipeline will accept, instead of discovering an invalid mutation only by trying it and getting a schema-violation error.

  • Snapshot state

    Capture an immutable point-in-time snapshot of a model's state (base document + derived/meta caches). A natural safety step before a risky evolve_spec: keep the returned snapshot and, if the change goes wrong, hand it back to 'restore' to roll the state back.

  • Restore state

    Restore a model's state from a snapshot previously returned by 'snapshot' (pass it back verbatim as 'snapshot'). Overwrites the model's current base state. The snapshot must be for the same model.

  • Explain field

    Explain why a field is what it is: returns the recent derivation/constraint trace records for a path from the in-memory ring buffer (inputs, expression, result). For a constraint use the synthetic path "$constraint:<id>". Trace records can be bulky — pass 'limit' to return only the most recent N.

  • Get history

    List the ISO-8601 timestamps of a model's committed mutations (most recent 100).

  • Get audit trail

    Query a model's durable, append-only audit trail (newest-first): one record per committed reactive cycle (mutations, derivedUpdated, traces, flaggedConstraints, dispatchedEffects, source, sequence). This is the queryable superset of get_history/explain — it survives the in-memory ring buffer rolling over. Filter with an optional 'pathPrefix' (canonical address), an ISO-8601 'from'/'to' window, and 'limit'. (Embedded mode keeps this in memory for the session; remote/paired mode reads the server's

  • Verify audit trail

    Verify the tamper-evidence hash chain of a model's durable audit trail. Returns {valid, recordsChecked, firstBrokenSequence, detail}; a false 'valid' points at the first altered/reordered/deleted record. (Embedded mode has no hash chain and reports valid.)

  • Upload blob

    Store binary content (base64-encoded in 'data') in the content-addressed blob store and get back a BlobRef {$blobId, $mediaType, $bytes} to embed in a model's binary field. Storage is content-addressed (SHA-256), so uploading identical bytes returns the same $blobId.

  • Download blob

    Fetch a blob's bytes by id, base64-encoded in the result. Pass 'modelId' to fetch a blob referenced by a specific model (access-scoped); omit it for a direct store fetch. Large blobs may exceed the result-size limit — this channel suits small binaries only.

  • Evolve spec

    Apply an incremental SpecEvolution diff to a model, preserving live state. Returns the new version. Fails (isError) if the evolved spec is invalid, if expectedVersion no longer matches, or if a schema change would strand existing state. Prefer targeted diffs (upsertSchemaNodes/upsertSchemaDefs, upsertComponents, upsertConstants) over resending a whole section (newSchema/newViewDefinition/newConstants).

  • Delete model

    Remove a model from the registry. Fails (isError) if the model does not exist.

  • Get view

    Evaluate a model's embedded view definition against current state and return the resolved component tree. Pass an optional 'viewId' for a named view; omit for the default view.

  • Get domain guidance

    Get vetted instructions for the hard modelling shapes this domain involves (progressive tax/fee charges, per-period schedules, classification, date math, group-by, …). Read the model description in ANY language, pick the matching topic ids, and call this BEFORE authoring the spec — then follow what it returns. Available topics: - amortization_schedule — A computed array / per-period schedule: an amortization table, time series, or per-period breakdown (one row per period). - group_by — Group

  • Validate spec

    Validate a ModelSpec WITHOUT creating it: returns a 'valid' flag plus structured findings (errors + warnings, each with a location and message). Use this to iterate on a draft — fix the reported errors, re-validate — before committing with create_model.

  • Evaluate expression

    Evaluate a single JSONata expression against a sample input document and return the computed value, or the exact compile/eval error. Write the expr exactly as in a derivation/constraint 'expr': bare dot-paths, no leading $ (e.g. "loan.amount * loan.annualRate / 1200"). Use this to verify an expression before putting it in a spec — it uses the same compiler the runtime validates against. If the expression calls a library function, pass the model's library definition as 'library' — without it ever

  • Test spec

    Run a spec's embedded test cases (or ad-hoc given->expect cases) through the real reactive pipeline in a throwaway runtime, returning pass/fail plus per-field failures (path, expected, actual). Use this to certify domain behavior before create_model / promotion.

Get your MCP into directories

A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.

Directory coverage for brands

Frequently Asked Questions

What is the Valem MCP server?

Describe a model in plain words and Valem builds a live, reactive form where every derived value recomputes as you type.

How do I connect Valem to my AI agent?

Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.

How many tools does Valem provide?

MCPBundles probed 27 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.

What authentication does Valem require?

No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.

Maintain this listing

Operate Valem? Verify ownership to take over this directory entry.

Operate Valem?

This server appears in the MCPBundles directory. Verify you operate it to take over the listing — name, description, logo, contact email, and skill content. We email a 6-digit code to a maintainer address your server publishes in /.well-known/security.txt or /.well-known/mcpbundles.json. Free, takes about a minute.

Claim this listing