# io.github.Dakera-AI/dakera-mcp (oci · ghcr.io/dakera-ai/dakera-mcp)

Agent memory engine — 106 MCP tools, self-hosted, single Rust binary

- Trust score: 47/100 (low)
- Change this week: +1
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- oci · `ghcr.io/dakera-ai/dakera-mcp`: 47/100 (this document), [markdown](https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp.md), [page](https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp)

## Channel facts

- Registry: `oci`
- Package: `ghcr.io/dakera-ai/dakera-mcp`
- Version: `0.12.3`
- Transport: `stdio`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 0/100
  - No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.
  - Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.
- **Provenance & Transparency**: 35/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: no license is declared.
  - Actively maintained (last published 13 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 67/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1823 tokens (~130/item across 14 items; 14 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 91/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 72% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 14 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 20/100
  - Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28.

**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.

## Install

### How do I install the io.github.Dakera-AI/dakera-mcp server?

io.github.Dakera-AI/dakera-mcp runs locally as a container image, launched with docker run --rm -i ghcr.io/dakera-ai/dakera-mcp:0.12.3. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add dakera-ai-dakera-mcp -- docker run --rm -i ghcr.io/dakera-ai/dakera-mcp:0.12.3
```

### Cursor

```json
{
  "mcpServers": {
    "dakera-ai-dakera-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/dakera-ai/dakera-mcp:0.12.3"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "dakera-ai-dakera-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/dakera-ai/dakera-mcp:0.12.3"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add dakera-ai-dakera-mcp -- docker run --rm -i ghcr.io/dakera-ai/dakera-mcp:0.12.3
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dakera-ai-dakera-mcp": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "ghcr.io/dakera-ai/dakera-mcp:0.12.3"
      ],
      "enabled": true
    }
  }
}
```

### Hermes

```yaml
mcp_servers:
  dakera-ai-dakera-mcp:
    command: "docker"
    args: ["run", "--rm", "-i", "ghcr.io/dakera-ai/dakera-mcp:0.12.3"]
```

### Netclaw

```json
{
  "McpServers": {
    "dakera-ai-dakera-mcp": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/dakera-ai/dakera-mcp:0.12.3"
      ]
    }
  }
}
```

### Other

```json
{
  "mcpServers": {
    "dakera-ai-dakera-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/dakera-ai/dakera-mcp:0.12.3"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-31 (score 47, 0)

- [security] Stability: 0.97 → pass

### 2026-10-30 (score 47, +1)

No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-28 (score 46, +1)

No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 45, +1)

No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 44, +1)

No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-22 (score 43, 0)

- [security regression] Tool safety: pass → unverified
- [security regression] Stability: 0.67 → unverified
- [functional regression] Capabilities: fail → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional] Package version: 0.12.2 → 0.12.3

### 2026-10-20 (score 43, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-18 (score 42, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (14)

### `dakera_store` (~199 tokens)

Persist a memory (fact, decision, context) for an agent. importance defaults to 0.5; use 0.8-1.0 for memories that must survive decay.

Input parameters:

- `agent_id` (string, required)
- `attachment_ref` (string): sha256:<hex> uploaded to the agent's namespace (v0.12)
- `content` (string, required): Memory content text
- `expires_at` (integer): Expiry, Unix seconds (wins over ttl_seconds)
- `importance` (number): Importance 0.0-1.0
- `lang` (string): en, de, fr, es, it, pt or nl (v0.12+)
- `memory_type` (string)
- `metadata` (object)
- `session_id` (string): Session to associate with
- `tags` (array): Tags for filtering
- `ttl_seconds` (integer): Expire after N seconds

### `dakera_recall` (~257 tokens)

Semantic recall: the top_k (default 5) memories closest to a query, optionally narrowed by tags, memory_type or session_id. Session neighbours go in context_memories, outside top_k. include_associated adds KG neighbours one hop away (dakera_recall_associated goes deeper). Best first: rank_score (v0.12.3+) orders them; score may rise.

Input parameters:

- `agent_id` (string, required)
- `include_associated` (boolean): Include KG-linked memories in results
- `lang` (string): en, de, fr, es, it, pt or nl (v0.12+)
- `memory_type` (string)
- `min_importance` (number): Min importance threshold
- `neighborhood_mode` (string): Session-neighbour context: separate (listed apart, the default), inline or off
- `query` (string, required): Semantic query text
- `session_id` (string)
- `since` (string): Only memories created at or after this ISO-8601 timestamp
- `tags` (array)
- `top_k` (integer): Max results to return
- `until` (string): Only memories created at or before this ISO-8601 timestamp

### `dakera_forget` (~87 tokens)

Permanently delete memories by ID or tag. Provide memory_ids for exact removal or tags to bulk-delete all memories sharing those tags. Deletion is immediate and irreversible — prefer dakera_memory_importance to suppress without deleting.

Input parameters:

- `agent_id` (string, required)
- `memory_ids` (array): Specific memory IDs to delete
- `tags` (array): Delete memories with these tags

### `dakera_batch_recall` (~145 tokens)

List memories by filters (tags, importance, time window, type, session) without a query; at most limit (default 100). Use instead of dakera_recall when no semantic search is needed.

Input parameters:

- `agent_id` (string, required)
- `created_after` (integer): After Unix timestamp
- `created_before` (integer): Before Unix timestamp
- `limit` (integer)
- `max_importance` (number): Max importance (inclusive)
- `memory_type` (string)
- `min_importance` (number): Min importance (inclusive)
- `session_id` (string)
- `tags` (array): Tags to match (all required)

### `dakera_batch_forget` (~132 tokens)

Bulk-delete memories matching filters (tags, importance range, time window, type, session); at least one is required. Permanent: to demote instead, use dakera_memory_importance.

Input parameters:

- `agent_id` (string, required)
- `created_after` (integer): After Unix timestamp
- `created_before` (integer): Before Unix timestamp
- `max_importance` (number): Max importance threshold
- `memory_type` (string)
- `min_importance` (number): Min importance threshold
- `session_id` (string)
- `tags` (array): Tags to match (all required)

### `dakera_search` (~118 tokens)

Semantic search with optional tag and memory-type pre-filters. Prefer over dakera_recall when results must be constrained by tag or type alongside the semantic match.

Input parameters:

- `agent_id` (string, required)
- `lang` (string): en, de, fr, es, it, pt or nl (v0.12+)
- `memory_type` (string): Filter by memory type
- `query` (string, required): Search query text
- `tags` (array): Filter by tags
- `top_k` (integer): Number of results

### `dakera_session_start` (~90 tokens)

Open a session; its session_id groups the memories you store. The server ends a session idle for 4 h by default (v0.12.2+).

Input parameters:

- `agent_id` (string, required)
- `idle_timeout_secs` (integer): End after this many idle seconds; 0 = never (v0.12.2+)
- `metadata` (object): Optional session metadata

### `dakera_session_end` (~69 tokens)

Close a session with an optional summary. Call at run end, even on error. A session the server already ended (idle) keeps its state; your summary is then not saved.

Input parameters:

- `session_id` (string, required): Session ID to end
- `summary` (string): Optional session summary

### `dakera_knowledge_graph` (~105 tokens)

Build a knowledge graph from a seed memory using embedding similarity. Use to explore how a concept connects to stored knowledge. For BFS traversal of an existing linked graph use dakera_graph_traverse.

Input parameters:

- `agent_id` (string, required)
- `depth` (integer): Graph traversal depth (controls candidate count)
- `memory_id` (string, required): Seed memory ID to build graph from
- `min_similarity` (number): Minimum similarity threshold 0.0-1.0

### `dakera_fulltext_search` (~92 tokens)

BM25 keyword search over indexed documents. Use over vector search when exact-term recall matters (error codes, IDs, names). For semantic+keyword combined use dakera_hybrid_search.

Input parameters:

- `filter` (object): Optional metadata filter
- `namespace` (string, required): Namespace to search in
- `query` (string, required): Search query text
- `top_k` (integer): Number of results to return

### `dakera_hybrid_search` (~175 tokens)

BM25 + vector ANN hybrid search in a single pass. Omit vector for BM25-only mode. Use for RAG when pure semantic or keyword search alone is insufficient. vector_weight: 0.0=BM25, 1.0=vector (default 0.5).

Input parameters:

- `filter` (object): Optional metadata filter
- `include_metadata` (boolean)
- `include_vectors` (boolean)
- `namespace` (string, required): Namespace to search in
- `text` (string, required): Text query for full-text search
- `top_k` (integer): Number of results to return
- `vector` (array): Query embedding; omit for BM25-only.
- `vector_weight` (number): Vector score weight 0.0–1.0; text weight = 1−value.

### `dakera_extract` (~155 tokens)

Extract entities, topics, key phrases and a summary from text with the provider chain: extractor_override, then the namespace default, then the server default (GLiNER local). For ad-hoc GLiNER types use dakera_auto_tag. Needs a write key for the namespace (for all namespaces when neither namespace nor agent_id is given).

Input parameters:

- `agent_id` (string)
- `extractor_override` (object): Provider for this request only
- `lang` (string): en, de, fr, es, it, pt or nl (v0.12+)
- `namespace` (string): Namespace whose extractor config applies (default: agent_id's)
- `text` (string, required): Text to extract information from

### `dakera_discover_tools` (~90 tokens)

Search the Dakera tool catalog by keyword or tier (core/power/admin/meta) and return names and one-line summaries without loading full schemas. Call this first to find relevant tools, then use dakera_load_tools to fetch only the schemas you need — avoids loading the full catalog upfront.

Input parameters:

- `query` (string): Keyword to search tool names/descriptions.
- `tier` (string)

### `dakera_load_tools` (~58 tokens)

Fetch the full inputSchema for one or more named tools. Use after dakera_discover_tools. Returns schemas for found tools and a not_found list for unrecognized names.

Input parameters:

- `tools` (array, required): Tool names to load schemas for

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp#diagnostics

## Score history

- 2026-11-05: 47
- 2026-11-04: 47
- 2026-11-03: 47
- 2026-11-02: 47
- 2026-11-01: 47
- 2026-10-31: 47
- 2026-10-30: 47
- 2026-10-29: 46
- 2026-10-28: 46
- 2026-10-27: 45
- 2026-10-26: 45
- 2026-10-25: 44
- 2026-10-24: 44
- 2026-10-23: 43
- 2026-10-22: 43
- 2026-10-21: 43
- 2026-10-20: 43
- 2026-10-19: 42
- 2026-10-18: 42
- 2026-10-17: 41
- 2026-10-16: 41
- 2026-10-15: 41
- 2026-10-14: 40
- 2026-10-13: 40
- 2026-10-12: 7
- 2026-10-10: 7
- 2026-10-05: 34
- 2026-10-04: 34
- 2026-10-03: 34
- 2026-10-02: 34

## Common questions

### What is the io.github.Dakera-AI/dakera-mcp server?

io.github.Dakera-AI/dakera-mcp is listed in the public MCP registry as io.github.Dakera-AI/dakera-mcp. Agent memory engine, 106 MCP tools, self-hosted, single Rust binary. This page covers its container image (ghcr.io/dakera-ai/dakera-mcp).

### Is the io.github.Dakera-AI/dakera-mcp server safe to use?

io.github.Dakera-AI/dakera-mcp scores 47 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the io.github.Dakera-AI/dakera-mcp server expose?

io.github.Dakera-AI/dakera-mcp exposes 14 tools: dakera_store, dakera_recall, dakera_forget, dakera_batch_recall, dakera_batch_forget, and 9 more. Their descriptions and schemas cost roughly 1,772 tokens of context every time the server is loaded.

### Is the io.github.Dakera-AI/dakera-mcp server still maintained?

io.github.Dakera-AI/dakera-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What did VerifyMCP test on the io.github.Dakera-AI/dakera-mcp server?

VerifyMCP ran 12 checks on io.github.Dakera-AI/dakera-mcp, covering Source repository, Provenance, License, Maintenance and 8 more. 4 items could not be completed, a gap on our side rather than a finding about io.github.Dakera-AI/dakera-mcp: Malware scan, Known CVEs, Install scripts and Dependency health. One category scores 0 for that reason, because we only credit what we can confirm. Endpoint Security and Transport & Reachability do not apply to a container image, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- GitHub Container Registry: https://ghcr.io/dakera-ai/dakera-mcp
- Repository: https://github.com/Dakera-AI/dakera-mcp
- Changelog RSS feed: https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp.json
- HTML version of this page: https://verifymcp.io/servers/dakera-ai-dakera-mcp/ghcr-io-dakera-ai-dakera-mcp