Précis Finance MCP
REMOTE · MCP.PRECIS.FINANCE · SCANNED AUG 3
Public read-only Précis Finance MCP demo with synthetic data; no account or credentials required.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 17 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability34
- 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Fail
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 5774 tokens (~303/item across 19 items; 17 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
Capabilities73
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
- Supports UI / widget rendering.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
remote · mcp.precis.finance
claude mcp add --transport http precis-finance-precis-finance-mcp https://mcp.precis.finance/mcp
[mcp_servers.precis-finance-precis-finance-mcp] url = "https://mcp.precis.finance/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"precis-finance-precis-finance-mcp": {
"type": "remote",
"url": "https://mcp.precis.finance/mcp",
"enabled": true
}
}
} openclaw mcp add precis-finance-precis-finance-mcp --url https://mcp.precis.finance/mcp --transport streamable-http
mcp_servers:
precis-finance-precis-finance-mcp:
url: "https://mcp.precis.finance/mcp" {
"mcpServers": {
"precis-finance-precis-finance-mcp": {
"type": "http",
"url": "https://mcp.precis.finance/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 31 Jul 26 +3
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 29 Jul 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 28 Jul 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Jul 26 48
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Probed https://mcp.precis.finance/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_256_GCM_SHA384 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.precis.finance | CN=YE2,O=Let's Encrypt,C=US | 9 Jul 2026 | 7 Oct 2026 | ECDSA 256 | ECDSA-SHA384 | 5a887c0aa12ddf94415fbe00cedeeb6b587 |
| SANs: mcp.precis.finance | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
DNSSEC insecure
Validation of mcp.precis.finance. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| finance. | present | 28624 | 8 | Verified |
| precis.finance. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.precis.finance/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.precis.finance/mcp | HTTPS enforced | 301 | https://mcp.precis.finance/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
get_binding ~35
Fetch one data feed's full configuration: source, target dataset, schedule, and extract parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| binding_id | string | yes | — |
No output schema declared.
No examples provided.
get_inspection_schema ~27
Get the column schema for an inspection source.
| Name | Type | Req | Description |
|---|---|---|---|
| source_key | string | yes | — |
No output schema declared.
No examples provided.
get_load_status ~40
Fetch one data load's full detail by load_id — timestamps, status, rows landed, and any error message.
| Name | Type | Req | Description |
|---|---|---|---|
| load_id | string | yes | — |
No output schema declared.
No examples provided.
inspect_rows ~90
Inspect the row-level detail behind a figure, from an enabled inspection source. Returns a capped sample for reasoning plus a grid for the user.
| Name | Type | Req | Description |
|---|---|---|---|
| columns | — | — | — |
| filename | — | — | — |
| filters | — | — | — |
| limit | — | — | — |
| period_end | — | — | — |
| period_start | — | — | — |
| scenario_id | string | yes | — |
| sheet_name | — | — | — |
| source_key | string | yes | — |
No output schema declared.
No examples provided.
list_bindings ~44
List the configured data feeds (ingestion bindings) with their schedule — which datasets load, from where, how often.
| Name | Type | Req | Description |
|---|---|---|---|
| source_id | — | — | — |
| target | — | — | — |
No output schema declared.
No examples provided.
list_dimensions ~46
List the dimensions defined in the model — keys, labels, and kinds (leaf / derived / ragged hierarchy). Catalogue metadata only; use search_hierarchy to list a dimension's members.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_inspection_sources ~19
List the row-level sources available for inspection.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_kpis ~28
Browse the metric catalogue — metric keys, formats, domains, and the dimensions available per metric.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_load_history ~74
List data-load attempts from the ingestion audit trail — when each dataset landed, with what status. Answers "is April in yet?" / "when was this data last loaded?".
| Name | Type | Req | Description |
|---|---|---|---|
| binding_id | — | — | — |
| dataset_id | — | — | — |
| limit | integer | — | — |
| period | — | — | — |
| status | — | — | — |
No output schema declared.
No examples provided.
list_scenarios ~19
List the available planning scenarios and their status.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_variants ~26
List the what-if variants of a scenario.
| Name | Type | Req | Description |
|---|---|---|---|
| scenario_id | string | yes | — |
No output schema declared.
No examples provided.
precis_orientation ~53
Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
run_metric ~158
Break one or more metrics down by a dimension — revenue by project, utilisation by employee, headcount trends, GL account drill-down. Rows are the dimension; columns are metrics × scenarios. Pass `scenarios` explicitly and give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Shows the user a formatted table.
| Name | Type | Req | Description |
|---|---|---|---|
| decimals | — | — | — |
| dimensions | — | — | — |
| filename | — | — | — |
| filters | — | — | — |
| layout | string | — | — |
| metrics | array | yes | — |
| overwrite | boolean | — | — |
| period_end | — | — | — |
| period_start | — | — | — |
| scale | — | — | — |
| scenarios | — | — | — |
| sheet_name | — | — | — |
| target | — | — | — |
No output schema declared.
No examples provided.
run_metric_data ~192
Break one or more metrics down by a dimension — revenue by project, utilisation by employee, headcount trends, GL account drill-down. Rows are the dimension; columns are metrics × scenarios. Pass `scenarios` explicitly and give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Returns the raw figures (and a `data_ref`) for your own analysis or to build a chart — pass the `data_ref` to eval_chart_transform. Does not show the user a table.
| Name | Type | Req | Description |
|---|---|---|---|
| decimals | — | — | — |
| dimensions | — | — | — |
| filename | — | — | — |
| filters | — | — | — |
| layout | string | — | — |
| metrics | array | yes | — |
| overwrite | boolean | — | — |
| period_end | — | — | — |
| period_start | — | — | — |
| scale | — | — | — |
| scenarios | — | — | — |
| sheet_name | — | — | — |
| target | — | — | — |
No output schema declared.
No examples provided.
run_statement ~183
Run a financial statement — P&L, variance report, or executive summary. Rows are statement lines (Revenue, Direct Cost, Gross Margin, …); columns are scenarios. Supports an optional dimension breakdown (e.g. by period or cost centre). For an unspecified general P&L, prefer `full_pnl` when it is listed by precis_orientation. Give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Shows the user a formatted table.
| Name | Type | Req | Description |
|---|---|---|---|
| decimals | — | — | — |
| dimensions | — | — | — |
| filename | — | — | — |
| filters | — | — | — |
| layout | string | — | — |
| overwrite | boolean | — | — |
| period_end | — | — | — |
| period_start | — | — | — |
| scale | — | — | — |
| scenarios | — | — | — |
| sheet_name | — | — | — |
| statement | — | — | — |
| target | — | — | — |
No output schema declared.
No examples provided.
run_statement_data ~217
Run a financial statement — P&L, variance report, or executive summary. Rows are statement lines (Revenue, Direct Cost, Gross Margin, …); columns are scenarios. Supports an optional dimension breakdown (e.g. by period or cost centre). For an unspecified general P&L, prefer `full_pnl` when it is listed by precis_orientation. Give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Returns the raw figures (and a `data_ref`) for your own analysis or to build a chart — pass the `data_ref` to eval_chart_transform. Does not show the user a table.
| Name | Type | Req | Description |
|---|---|---|---|
| decimals | — | — | — |
| dimensions | — | — | — |
| filename | — | — | — |
| filters | — | — | — |
| layout | string | — | — |
| overwrite | boolean | — | — |
| period_end | — | — | — |
| period_start | — | — | — |
| scale | — | — | — |
| scenarios | — | — | — |
| sheet_name | — | — | — |
| statement | — | — | — |
| target | — | — | — |
No output schema declared.
No examples provided.
search_hierarchy ~49
Search the dimension hierarchies (cost centres, accounts, …) to find valid codes and ids before composing a query.
| Name | Type | Req | Description |
|---|---|---|---|
| dimension | — | — | — |
| limit | — | — | — |
| query | — | — | — |
No output schema declared.
No examples provided.