mcp server
Reality Graph Verification Tools
Read-only AI coding tools for change verification, release readiness, capacity, and guidance.
Description as published by the maintainer. Source
- version 2.0.0
- active
active — Registry entry last updated 2026-07-22.
What this server can do
10 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
calculate_verification_capacity(lang, ai_changes_per_week, two_week_churn_percent, evidence_coverage_percent, available_reviewer_hours_per_week, average_review_minutes_per_change)- Calculate weekly review demand, utilization, capacity gap, supported change throughput, and changes lacking evidence from measured team inputs. No cost model, benchmark, or hidden industry assumption is applied; the output shows the arithmetic and a concrete balancing action. Required: ai_changes_per_week, average_review_minutes_per_change, available_reviewer_hours_per_week, evidence_coverage_percent.
check_release_readiness(lang, checks, rollback, blast_radius, change_types, change_summary, rollback_ready, monitoring_ready, independent_review, acceptance_criteria_failed, acceptance_criteria_passed, known_limitations_recorded, acceptance_criteria_not_run)- Return GO, CONDITIONAL, or NO_GO from supplied acceptance-criterion results, check evidence, rollback, monitoring, limitations, and independent review. The verdict is deliberately based only on supplied evidence; this tool does not inspect code, CI, or a deployment. Required: change_summary, change_types, blast_radius, rollback, acceptance_criteria_passed, acceptance_criteria_failed, acceptance_criteria_not_run, checks, rollback_ready, monitoring_ready, known_limitations_recorded, independent_review.
check_verification_debt(lang, team_size, prs_per_month, hourly_rate_eur, ai_share_percent, ai_merges_per_month, merged_loc_per_week, two_week_churn_percent, reviewer_hours_per_week, hours_per_reworked_change, incident_allowance_eur_per_year, ai_merges_with_evidence_per_month, review_reconstruction_hours_per_pr, substantive_review_comments_per_week)- Estimate a software team's verification debt from team parameters. Computes the four published metrics (generation-to-verification ratio, review depth, unverified-merge rate, two-week churn) and an annual cost estimate, with the full calculation path, labeled assumptions, thresholds, and sources (GitClear, Sonar, Faros, Veracode). Deterministic arithmetic from published models — no benchmark claims. Only team_size is required; every additional parameter refines the estimate. Set lang='de' for a German report. Required: team_size.
fetch(id)- Fetch a document from the Reality Graph knowledge base by id (as returned by search, e.g. '/verification-debt') or by full realitygraph.dev URL. Returns the document's summary, definitions, key facts, FAQ, and sources as text, plus the canonical URL. Required: id.
get_task_contract_template(lang, format)- Returns Reality Graph's free fill-in template (v0) for a verifiable task contract: goal, non-goals, boundaries (may change / must not change / forbidden), 3-7 yes/no acceptance criteria, validation plan, expected evidence, assumptions, open questions — with a filled example and fill-in guidance. Write the contract before an AI agent runs; verify the result against it after. format='json' returns a machine-fillable JSON structure; default is a compact markdown skeleton. Set lang='de' for German. Static content, nothing stored.
get_verification_report_template(lang, format)- Returns the free fill-in template (v0) for a verification report — the artifact you write right after an AI-assisted run: task recap, files changed AND files confirmed untouched, validation results per acceptance criterion (not authored by the generating model), what was skipped, limitations, and the explicit decision. format='json' for a machine-fillable structure; default is a compact markdown file. Static content, nothing stored. lang='de' for German.
lint_task_spec(lang, task)- Check whether a free-text work order for an AI coding agent is verifiable BEFORE handing it over. Heuristic, deterministic lint of the task's form against the four building blocks of a checkable task (goal, boundaries, acceptance criteria, validation plan) plus rule checks (vague adjectives without numbers, unnamed unhappy paths, missing file anchors). Returns a status table with evidence, the concrete questions that close each gap, and a fill-in skeleton. It checks form, not content — no LLM, nothing stored. Set lang='de' for a German report. Required: task.
plan_change_verification(lang, rollback, blast_radius, change_types, change_summary)- Turn explicit change characteristics into a risk tier, required automated checks, manual scenarios, evidence, release blockers, role handoff, and canonical Reality Graph guidance. Use before implementation or review. It does not inspect code and never invents a confidence score. Required: change_summary, change_types, blast_radius, rollback.
search(lang, query)- Full-text search over the Reality Graph knowledge base on AI coding verification: 40+ glossary definitions, 700+ FAQ answers, sourced statistics, and article summaries on verification debt, AI code review, spec-vs-implementation checking, EU compliance (EU AI Act, GDPR, NIS2), and AI coding governance — in English and German. Returns matching documents with title, URL, and snippet. Use fetch to read a result. Required: query.
validate_task_contract(lang, contract)- Deterministically validates a FILLED task contract (the JSON structure from get_task_contract_template): completeness of goal/non-goals/boundaries, decidability of each acceptance criterion (vague words, missing measurable markers), automated checks in the validation plan, expected evidence, and leftover placeholders. Returns a verdict (PASS / PASS WITH WARNINGS / FAIL), four dimension scores, and a concrete fix per finding. Validates form and completeness, not correctness. No LLM, nothing stored. lang='de' for German. Required: contract.
Last successful function declaration observed on . Source: https://realitygraph.dev/api/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://realitygraph.dev/api/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 2.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-22 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-22 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 10 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | realitygraph.dev | |
| mcp endpoint status | ok | The server listed 10 functions when asked. | as of probe | realitygraph.dev |
Where to get it
This record as data
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GET /api/v1/entries/mcp_server.json