com.opensolr/opensolr-mcp
PYPI · OPENSOLR-MCP · SCANNED AUG 20
Managed Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 5 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability72
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 914 tokens (~101/item across 9 items; 9 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
- 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
pypi · opensolr-mcp
claude mcp add com-opensolr-opensolr-mcp -- uvx opensolr-mcp
codex mcp add com-opensolr-opensolr-mcp -- uvx opensolr-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-opensolr-opensolr-mcp": {
"type": "local",
"command": [
"uvx",
"opensolr-mcp"
],
"enabled": true
}
}
} openclaw mcp add com-opensolr-opensolr-mcp --command uvx --arg opensolr-mcp
mcp_servers:
com-opensolr-opensolr-mcp:
command: "uvx"
args: ["opensolr-mcp"] {
"mcpServers": {
"com-opensolr-opensolr-mcp": {
"command": "uvx",
"args": [
"opensolr-mcp"
]
}
}
} 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.
- 19 Aug 26 0
- Security disclosure: unverified → fail ▼ functional
- 18 Aug 26 0
- Security disclosure: fail → unverified ▼ functional
- 14 Aug 26 66
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 20 Aug 2026 · Analysed pypi/opensolr-mcp@0.2.6
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Dependencies 33 packages
| Packages resolved | 33 |
|---|---|
| Stale | 1 |
| No linked repository | 1 |
| Tree resolution | Complete |
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.
opensolr_add_documents ~161
Index plain-text documents via the Opensolr Data Ingestion API. Ingestion is ASYNC: embeddings, sentiment, and all derived fields are computed server-side and documents become searchable within about a minute (progress is visible in the Opensolr Control Panel). With wait=true (default) this blocks until the job completes. Metadata keys become filterable meta_* fields; metadata "uri" (a real URL) is used as the document identity — the Solr id is md5(uri). Returns job info and the resulting Solr document ids.
| Name | Type | Req | Description |
|---|---|---|---|
| ids | – | – | – |
| index | string | yes | – |
| metadatas | – | – | – |
| texts | array | yes | – |
| wait | boolean | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
opensolr_ai_answer ~219
Ask a question and get a grounded RAG answer generated ONLY from the content already indexed in the given Opensolr index. Retrieval runs through the platform's tuned hybrid pipeline (the index's saved Search Tuning applies automatically) — the top rag_docs hits (first rag_words words of text each) become the LLM context, the same pipeline as the hosted search UI. filter_query optionally narrows retrieval with a raw Solr fq expression; instruction optionally replaces the default prompt (e.g. "Answer in German", "Extract a list of people"); tuning optionally overrides retrieval knobs per call (fw_title, fw_description, fw_uri, fw_text, lexical_weight, vector_weight, vector_topk, search_mode, quality_boost, min_score, mm).
| Name | Type | Req | Description |
|---|---|---|---|
| filter_query | – | – | – |
| index | string | yes | – |
| instruction | – | – | – |
| query | string | yes | – |
| rag_docs | integer | – | – |
| rag_words | integer | – | – |
| tuning | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
opensolr_create_index ~72
Create a new vector-enabled Opensolr index. location: us, de, fi, or any environment id from opensolr_vector_regions. Additional dedicated regions can be deployed on request (support@opensolr.com).
| Name | Type | Req | Description |
|---|---|---|---|
| index | string | yes | – |
| location | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
opensolr_delete_documents ~68
Delete documents by ids (Solr ids or your original ids) or by a raw Solr query, e.g. 'meta_category:"drafts"' or '+id:"abc123"'.
| Name | Type | Req | Description |
|---|---|---|---|
| ids | – | – | – |
| index | string | yes | – |
| query | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
opensolr_index_info ~40
Get connection details for an index: Solr URL, version, environment. (Credentials are intentionally not returned.)
| Name | Type | Req | Description |
|---|---|---|---|
| index | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
opensolr_ingest_status ~49
Status of a Data Ingestion job (state, processed/success/failed doc counts). Also visible in the Opensolr Control Panel.
| Name | Type | Req | Description |
|---|---|---|---|
| job_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
opensolr_list_indexes ~23
List all search indexes in the connected Opensolr account.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
opensolr_search ~177
Search an Opensolr index and return the k most relevant documents. search_mode: "hybrid" (default — BM25 + semantic kNN fused per document), "semantic" (pure kNN), or "lexical" (pure keyword edismax — no embedding call, zero AI quota, works on ANY index including non-vector ones). For hybrid: mode is union / keywords_required / meaning_required / intersection, alpha balances semantic (0) vs lexical (1). filter_query accepts a raw Solr fq expression, e.g. 'meta_category:"docs"'.
| Name | Type | Req | Description |
|---|---|---|---|
| alpha | number | – | – |
| filter_query | – | – | – |
| index | string | yes | – |
| k | integer | – | – |
| mode | string | – | – |
| query | string | yes | – |
| search_mode | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
opensolr_vector_regions ~37
List the vector-enabled Opensolr environments currently available (Solr 9.x with dense vectors and the hybrid query parser).
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.