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Evidence for your next connection.

Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Knowledge & memory

vrsai

Machine-native capabilities with explicit contracts and machine-readable commerce.

Checks passed
12 / 22

2 failed · 8 not measured

Median response
94 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
6

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Responded

The server completed its last measured handshake. This is an observation, not a guarantee.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
004
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
310
Publisher identityCan the publisher be traced to its source?
312

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 94 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-11-25, serverInfo.name vrsai.

  • Pass
    Lists tools

    tools/list returned 6 tools.

  • Pass
    Current protocol

    Negotiated 2025-11-25. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 94 ms over 1 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 94 ms over 1 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    1 of 1 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Not measured
    Stable tool list

    Fewer than two successful probes in 30 days, so tool-list stability is not measured.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Fail
    Parameters documented

    21 of 88 parameters have a description (24%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Pass
    Website matches publisher

    The website host matches the reverse-domain namespace.

  • Fail
    Source repo linked

    No repository URL is on file.

  • Not measured
    Repo owner matches

    This namespace is not an io.github login, so the owner comparison does not apply.

  • Pass
    Recently updated

    Updated 2026-08-25T00:02:56.099652Z, within 180 days.

  • Not measured
    Open-source licence

    No GitHub repository to ask about a licence.

Start using vrsai

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http vrsai https://api.vrsai.tech/mcp

Capabilities

Tools 6

decision_optimization

Call immediately before an autonomous system must choose among multiple feasible actions under limited resources, costs, capacities, eligibility rules, and an economic objective. Decision Optimization compiles a typed economic problem — supplier/inventory allocation across sources and demands, task-to-resource assignment, budget-constrained option selection, or production/resource mix — into a bounded MILP model, solves it with a fixed deterministic solver profile, and independently re-verifies the candidate decision against the original problem before returning it. Returns OPTIMAL, FEASIBLE, INFEASIBLE, UNBOUNDED, or NO_SOLUTION with machine-readable evidence: verified feasibility, solver optimality/gap, binding constraints, and stable fingerprints. It does not perform vehicle routing, scheduling, calendar planning, 3D/carton packing, arbitrary LP/MIP solving, natural-language optimization modeling, forecasting, or external data retrieval. Paid invocation: 30000 micro-USD per successful execution.

Discovered
invoice_match

Call after invoice extraction and immediately before an accounts-payable or procurement agent approves a purchase-order-backed supplier invoice. Invoice Match performs deterministic three-way matching across invoice lines, one or more purchase orders, cumulative goods-receipt evidence, prior invoicing, price tolerances, quantities, units, and exact invoice arithmetic. Cumulative invoicing (prior plus current) is always compared against cumulative receipts and against the ordered quantity, so repeated partial invoices against partial deliveries cannot silently overbill. It returns PROCEED, REVIEW, or BLOCK with line-level discrepancy codes and evidence, and always discloses which checks were and were not performed. Use it for invoice matching, PO matching, 3-way matching, goods-receipt matching, overbilling prevention, and autonomous AP approval controls. It does not OCR documents, infer product matches, retrieve ERP data, determine tax, or execute payment. Paid invocation: 50000 micro-USD per successful execution.

Discovered
openapi_agent_readiness

Call before integrating an OpenAPI-described API with autonomous agents to determine whether the contract is machine-actionable. Deterministically analyzes a self-contained OpenAPI 3.0, 3.1, or 3.2 description and returns a readiness score, verdict, and actionable findings covering operation semantics, request and response contracts, authentication clarity, reference integrity, and machine usability. It does not apply when generating a new OpenAPI description from source code. Paid invocation: 30000 micro-USD per successful execution.

Discovered
package_install_preflight

Call immediately before installing or adding an exact third-party npm or PyPI package version. Checks current registry, known vulnerability/malicious-package, publisher withdrawal/deprecation, and verified provenance evidence and returns ALLOW, REVIEW, BLOCK, or UNKNOWN with machine-readable reasons. It accepts only an ECMA-427 Package URL with one exact published version; ranges, dist-tags, Git dependencies, archives, local packages, container images, other ecosystems, dependency graphs, repositories, SBOMs, and source-code or malware analysis are outside this version. It does not install, download, extract, clone, execute, or recommend a package version, and ALLOW never claims that a package is safe. Paid invocation: 10000 micro-USD per successful execution.

Discovered
payout_preflight

Call immediately before an AI agent, accounts-payable system, treasury workflow, marketplace, or autonomous payment service authorizes or submits an outbound payout. Payout Preflight deterministically compares the candidate payout with caller-supplied trusted payment instructions, exact amount/currency policy, and supplied payout history; validates supported IBAN, US routing, and EVM destination structure; and detects destination changes, duplicate payouts, reused references, and first-seen destinations when history is complete. It returns PROCEED, REVIEW, or BLOCK with machine-readable evidence. Use it for payout validation, payment pre-validation, beneficiary-bank-detail change controls, duplicate-payment prevention, treasury controls, and agent payment guardrails. It does not verify bank-account ownership, perform Verification of Payee, AML/sanctions screening, submit payments, or guarantee settlement. Paid invocation: 50000 micro-USD per successful execution.

Discovered
sql_preflight

Call this immediately before an autonomous agent, coding assistant, or automated pipeline executes PostgreSQL write, DDL, or administrative SQL against a production-capable connection. It parses the complete statement set with a real PostgreSQL AST parser and prevents the costly mistake of an agent silently deleting, truncating, or dropping data it should not have touched. It detects unbounded DELETE and UPDATE (no WHERE clause), TRUNCATE, destructive DROP and CASCADE, mutation of caller-declared protected relations, and availability-sensitive DDL such as a non-concurrent CREATE INDEX or hazardous ALTER TABLE change. It returns a deterministic PROCEED, REVIEW, or BLOCK decision with stable reason codes, a per-statement inventory, and an explicit coverage report of exactly what was and was not assessed — parse failure and unparseable or unmodeled syntax always fail closed to REVIEW, never PROCEED. PostgreSQL is the only supported dialect in this version. It does not apply when executing SQL or connecting to a database. Paid invocation: 50000 micro-USD per successful execution.

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected94 ms6